Gigabyte Technology Co., Ltd. Z790 D
Geekbench ML Score
23656
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 23 2024 07:38 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 D |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 D |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 14 |
| L1 Data Cache | 48.0 KB x 14 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 33.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12086
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
11889
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9867
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15834
264.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
16422
274.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
14486
241.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
176466
213.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
175974
213.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
156365
189.4 IPS |
|
|
Object Detection (F32)
|
100% |
7609
568.1 IPS |
|
|
Object Detection (F16)
|
100% |
7603
567.6 IPS |
|
|
Object Detection (I8)
|
56% |
7106
530.5 IPS |
|
|
Face Detection (F32)
|
100% |
33644
400.0 IPS |
|
|
Face Detection (F16)
|
100% |
35213
418.7 IPS |
|
|
Face Detection (I8)
|
89% |
29465
350.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
71419
553.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65600
508.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
52001
403.3 IPS |
|
|
Style Transfer (F32)
|
100% |
306857
403.6 IPS |
|
|
Style Transfer (F16)
|
100% |
301490
396.6 IPS |
|
|
Style Transfer (I8)
|
98% |
262657
345.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41340
1.48 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
40456
1.44 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
33900
1.21 KIPS |
|
|
Text Classification (F32)
|
100% |
3478
5.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3472
4.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1981
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
4630
85.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4633
85.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2581
47.5 IPS |
