Generic
Geekbench ML Score
7216
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | August 15 2024 05:52 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% |
2417
452.3 IPS |
|
|
Image Classification (F16)
|
100% |
2350
439.8 IPS |
|
|
Image Classification (I8)
|
100% |
2002
374.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
4322
72.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3929
65.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3451
57.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
56980
69.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
56046
67.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
45776
55.4 IPS |
|
|
Object Detection (F32)
|
100% |
2136
159.5 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
61% |
1848
138.0 IPS |
|
|
Face Detection (F32)
|
100% |
5852
69.6 IPS |
|
|
Face Detection (F16)
|
100% |
5862
69.7 IPS |
|
|
Face Detection (I8)
|
89% |
5080
60.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
20539
159.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19328
149.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
15863
123.0 IPS |
|
|
Style Transfer (F32)
|
100% |
110514
145.4 IPS |
|
|
Style Transfer (F16)
|
100% |
111384
146.5 IPS |
|
|
Style Transfer (I8)
|
98% |
76966
101.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17588
628.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18145
648.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11286
403.1 IPS |
|
|
Text Classification (F32)
|
100% |
1320
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1452
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
922
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
2664
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2571
47.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1422
26.2 IPS |
