ASUS PRIME B650M-R Custom PC ASUS System Product Name
Geekbench AI Score
5762
Single Precision Score
8184
Half Precision Score
4309
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | HippoPCBuilder |
| Upload Date | August 29 2024 03:07 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-R |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2238
416.3 IPS |
|
|
Image Classification (HP)
|
100% |
3132
582.5 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2286
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24397
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
54334
63.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
22948
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
100% |
2710
215.0 IPS |
|
|
Object Detection (Q)
|
89% |
1705
136.4 IPS |
|
|
Face Detection (SP)
|
100% |
4112
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
7136
84.8 IPS |
|
|
Face Detection (Q)
|
97% |
3119
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13339
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18880
145.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
9646
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48647
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
79872
102.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34838
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10949
404.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16095
594.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7042
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2566
3.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1633
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1007
22.5 IPS |
