Gigabyte Technology Co., Ltd. Z790 D
Geekbench ML Score
5118
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 23 2024 07:35 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2658
497.4 IPS |
|
|
Image Classification (F16)
|
100% |
2568
480.6 IPS |
|
|
Image Classification (I8)
|
99% |
4754
889.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2299
38.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2321
38.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3595
60.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10578
12.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
10596
12.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
35263
42.7 IPS |
|
|
Object Detection (F32)
|
100% |
2660
198.6 IPS |
|
|
Object Detection (F16)
|
100% |
2661
198.6 IPS |
|
|
Object Detection (I8)
|
62% |
2322
173.3 IPS |
|
|
Face Detection (F32)
|
100% |
5299
63.0 IPS |
|
|
Face Detection (F16)
|
100% |
5537
65.8 IPS |
|
|
Face Detection (I8)
|
89% |
5805
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10603
82.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10640
82.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
19123
148.3 IPS |
|
|
Style Transfer (F32)
|
100% |
24467
32.2 IPS |
|
|
Style Transfer (F16)
|
100% |
24637
32.4 IPS |
|
|
Style Transfer (I8)
|
98% |
31195
41.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4411
157.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4657
166.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6565
234.5 IPS |
|
|
Text Classification (F32)
|
100% |
1848
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1843
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
586
842.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2644
48.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2711
49.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3497
64.4 IPS |
