ASRock B650M Pro RS
Geekbench AI Score
8766
Single Precision Score
3315
Half Precision Score
12930
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | February 28 2025 01:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8463
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
1160
215.8 IPS |
|
|
Image Classification (Q)
|
99% |
14839
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5246
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16915
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12380
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
53799
63.1 IPS |
|
|
Object Detection (SP)
|
100% |
8009
635.3 IPS |
|
|
Object Detection (HP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (Q)
|
86% |
13857
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
10957
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
15348
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20642
159.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4711
36.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
32659
260.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37828
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28954
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40515
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6511
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5380
198.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7125
263.8 IPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1436
1.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2774
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5608
112.7 IPS |
