ASUSTeK COMPUTER INC. ASUS EXPERTCENTER PM640KA
Geekbench AI Score
6234
Single Precision Score
9749
Half Precision Score
4559
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 03:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER PM640KA |
| Motherboard | ASUSTeK COMPUTER INC. PM640KA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1795
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
3591
667.8 IPS |
|
|
Image Classification (Q)
|
100% |
1640
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2927
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
33091
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
61865
72.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25910
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
2424
192.2 IPS |
|
|
Object Detection (Q)
|
87% |
1595
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
5571
66.2 IPS |
|
|
Face Detection (HP)
|
100% |
9056
107.6 IPS |
|
|
Face Detection (Q)
|
97% |
4762
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14065
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19958
153.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10814
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
53905
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
89791
115.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39389
50.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9789
361.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19642
725.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5849
216.6 IPS |
|
|
Text Classification (SP)
|
100% |
2035
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1327
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1243
23.3 IPS |
