ASUSTeK COMPUTER INC. ASUS EXPERTCENTER PM640KA
Geekbench AI Score
6423
Single Precision Score
9631
Half Precision Score
4691
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 13 2026 04:02 AM |
| Views | 2 |
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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3310
615.5 IPS |
|
|
Image Classification (Q)
|
100% |
1817
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3610
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3803
61.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2924
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32421
37.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60541
70.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25188
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
1844
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (Q)
|
87% |
1595
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
5629
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
9029
107.3 IPS |
|
|
Face Detection (Q)
|
97% |
4886
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14221
109.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20431
157.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
10769
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
52707
67.8 IPS |
|
|
Style Transfer (HP)
|
100% |
88961
114.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38921
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19325
713.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6264
232.0 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3280
4.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1430
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1319
24.7 IPS |
