ASRock B650M-H/M.2+
Geekbench ML Score
12273
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 01:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M-H/M.2+ |
| Motherboard | ASRock B650M-H/M.2+ |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7587
1.42 KIPS |
|
|
Image Classification (F16)
|
100% |
7493
1.40 KIPS |
|
|
Image Classification (I8)
|
100% |
6010
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9227
154.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9092
151.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
8043
134.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
113357
137.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
113705
137.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
97526
118.1 IPS |
|
|
Object Detection (F32)
|
100% |
2170
162.0 IPS |
|
|
Object Detection (F16)
|
100% |
3209
239.6 IPS |
|
|
Object Detection (I8)
|
62% |
3470
259.1 IPS |
|
|
Face Detection (F32)
|
100% |
24256
288.4 IPS |
|
|
Face Detection (F16)
|
100% |
24604
292.6 IPS |
|
|
Face Detection (I8)
|
89% |
18516
220.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
38314
297.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
33164
257.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
21114
163.7 IPS |
|
|
Style Transfer (F32)
|
100% |
100576
132.3 IPS |
|
|
Style Transfer (F16)
|
100% |
101116
133.0 IPS |
|
|
Style Transfer (I8)
|
98% |
89891
118.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9012
321.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9202
328.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7898
282.1 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1486
2.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
4469
82.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4455
82.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2848
52.4 IPS |
