Generic
Geekbench ML Score
7314
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 05:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z370 Killer SLI/ac |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2357
441.1 IPS |
|
|
Image Classification (F16)
|
100% |
2368
443.2 IPS |
|
|
Image Classification (I8)
|
100% |
2004
375.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
4298
71.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4612
77.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3266
54.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
60063
72.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
60676
73.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
46487
56.3 IPS |
|
|
Object Detection (F32)
|
100% |
2161
161.4 IPS |
|
|
Object Detection (F16)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (I8)
|
61% |
2072
154.7 IPS |
|
|
Face Detection (F32)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (F16)
|
100% |
5667
67.4 IPS |
|
|
Face Detection (I8)
|
89% |
4798
57.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
20279
157.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
20462
158.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
15628
121.2 IPS |
|
|
Style Transfer (F32)
|
100% |
110276
145.1 IPS |
|
|
Style Transfer (F16)
|
100% |
108434
142.6 IPS |
|
|
Style Transfer (I8)
|
98% |
81372
107.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18814
671.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18723
668.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11288
403.1 IPS |
|
|
Text Classification (F32)
|
100% |
1428
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1324
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
873
1.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
2594
47.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2547
46.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1491
27.4 IPS |
