Dell Inc. OptiPlex 7060
Geekbench ML Score
858
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | August 30 2024 04:14 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7060 |
| Motherboard | Dell Inc. 0C96W1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
404
75.6 IPS |
|
|
Image Classification (F16)
|
100% |
399
74.7 IPS |
|
|
Image Classification (I8)
|
100% |
366
68.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
572
9.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
575
9.61 IPS |
|
|
Image Segmentation (I8)
|
98% |
482
8.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
2338
2.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
2350
2.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
2106
2.55 IPS |
|
|
Object Detection (F32)
|
100% |
477
35.6 IPS |
|
|
Object Detection (F16)
|
100% |
482
36.0 IPS |
|
|
Object Detection (I8)
|
54% |
439
32.8 IPS |
|
|
Face Detection (F32)
|
100% |
745
8.86 IPS |
|
|
Face Detection (F16)
|
100% |
748
8.89 IPS |
|
|
Face Detection (I8)
|
89% |
577
6.86 IPS |
|
|
Depth Estimation (F32)
|
100% |
1762
13.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1757
13.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
1562
12.1 IPS |
|
|
Style Transfer (F32)
|
100% |
6143
8.08 IPS |
|
|
Style Transfer (F16)
|
100% |
6045
7.95 IPS |
|
|
Style Transfer (I8)
|
98% |
5116
6.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1245
44.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1215
43.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
963
34.4 IPS |
|
|
Text Classification (F32)
|
100% |
389
558.8 IPS |
|
|
Text Classification (F16)
|
100% |
387
556.8 IPS |
|
|
Text Classification (I8)
|
98% |
252
361.8 IPS |
|
|
Machine Translation (F32)
|
100% |
441
8.12 IPS |
|
|
Machine Translation (F16)
|
100% |
441
8.12 IPS |
|
|
Machine Translation (I8)
|
70% |
294
5.41 IPS |
