Generic
Geekbench ML Score
4013
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | orion1 |
| Upload Date | January 24 2025 08:01 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock P45DE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Quad Q9650 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 6.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | SDRAM |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2372
443.9 IPS |
|
|
Image Classification (F16)
|
100% |
2464
461.0 IPS |
|
|
Image Classification (I8)
|
99% |
1947
364.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1431
23.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1368
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
51753
62.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
54066
65.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
42413
51.4 IPS |
|
|
Object Detection (F32)
|
100% |
1016
75.9 IPS |
|
|
Object Detection (F16)
|
100% |
1157
86.4 IPS |
|
|
Object Detection (I8)
|
57% |
1133
84.6 IPS |
|
|
Face Detection (F32)
|
100% |
5122
60.9 IPS |
|
|
Face Detection (F16)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (I8)
|
88% |
4355
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
16723
129.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17096
132.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
12682
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
42774
56.3 IPS |
|
|
Style Transfer (F16)
|
100% |
42573
56.0 IPS |
|
|
Style Transfer (I8)
|
98% |
36633
48.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5021
179.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4980
177.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3695
132.0 IPS |
|
|
Text Classification (F32)
|
100% |
1012
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
980
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
632
907.8 IPS |
|
|
Machine Translation (F32)
|
100% |
521
9.59 IPS |
|
|
Machine Translation (F16)
|
100% |
622
11.5 IPS |
|
|
Machine Translation (I8)
|
69% |
439
8.08 IPS |
