ASUSTeK COMPUTER INC. ASUS EXPERTCENTER PM640KA
Geekbench AI Score
4870
Single Precision Score
4948
Half Precision Score
13659
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 03:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| 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% |
2936
546.1 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
100% |
9176
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3605
58.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10179
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6112
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
6143
7.17 IPS |
|
|
Pose Estimation (Q)
|
98% |
23954
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2891
229.3 IPS |
|
|
Object Detection (HP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (Q)
|
88% |
8382
671.9 IPS |
|
|
Face Detection (SP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
23242
276.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8085
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8357
64.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
22213
172.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16589
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16662
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
62949
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3338
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3351
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11490
425.5 IPS |
|
|
Text Classification (SP)
|
100% |
3124
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4926
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6554
112.9 IPS |
