Generic
Geekbench ML Score
4165
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| User | orion1 |
| Upload Date | September 04 2024 07:12 AM |
| Views | 4 |
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% |
2405
450.0 IPS |
|
|
Image Classification (F16)
|
100% |
2481
464.3 IPS |
|
|
Image Classification (I8)
|
99% |
1925
360.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1498
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1811
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
44077
53.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
55792
67.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
43175
52.3 IPS |
|
|
Object Detection (F32)
|
100% |
1163
86.8 IPS |
|
|
Object Detection (F16)
|
100% |
1142
85.3 IPS |
|
|
Object Detection (I8)
|
57% |
1111
82.9 IPS |
|
|
Face Detection (F32)
|
100% |
5330
63.4 IPS |
|
|
Face Detection (F16)
|
100% |
5288
62.9 IPS |
|
|
Face Detection (I8)
|
88% |
4508
53.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
17144
133.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17440
135.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12653
98.1 IPS |
|
|
Style Transfer (F32)
|
100% |
42572
56.0 IPS |
|
|
Style Transfer (F16)
|
100% |
43655
57.4 IPS |
|
|
Style Transfer (I8)
|
98% |
52379
68.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5043
180.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4940
176.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3702
132.2 IPS |
|
|
Text Classification (F32)
|
100% |
1081
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1056
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
691
993.6 IPS |
|
|
Machine Translation (F32)
|
100% |
634
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
554
10.2 IPS |
|
|
Machine Translation (I8)
|
69% |
456
8.38 IPS |
