System manufacturer System Product Name
Geekbench ML Score
13797
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:26 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z370-G GAMING |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6748
1.26 KIPS |
|
|
Image Classification (F16)
|
100% |
6971
1.30 KIPS |
|
|
Image Classification (I8)
|
100% |
4914
919.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
9539
159.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
9586
160.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
7881
131.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
107752
130.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
107521
130.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
86228
104.4 IPS |
|
|
Object Detection (F32)
|
100% |
3987
297.7 IPS |
|
|
Object Detection (F16)
|
100% |
4022
300.3 IPS |
|
|
Object Detection (I8)
|
63% |
3498
261.2 IPS |
|
|
Face Detection (F32)
|
100% |
19372
230.3 IPS |
|
|
Face Detection (F16)
|
100% |
19746
234.8 IPS |
|
|
Face Detection (I8)
|
89% |
14815
176.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
45319
351.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43113
334.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
29622
229.7 IPS |
|
|
Style Transfer (F32)
|
100% |
178488
234.8 IPS |
|
|
Style Transfer (F16)
|
100% |
168030
221.0 IPS |
|
|
Style Transfer (I8)
|
98% |
129781
170.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30749
1.10 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30610
1.09 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18296
653.4 IPS |
|
|
Text Classification (F32)
|
100% |
2337
3.36 KIPS |
|
|
Text Classification (F16)
|
100% |
2343
3.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1236
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
2824
52.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2793
51.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1427
26.3 IPS |
