ASUSTeK COMPUTER INC. ASUS EXPERTCENTER PM640KA
Geekbench AI Score
5159
Single Precision Score
5078
Half Precision Score
14020
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 05:26 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% |
3270
608.1 IPS |
|
|
Image Classification (HP)
|
100% |
3268
607.7 IPS |
|
|
Image Classification (Q)
|
100% |
9293
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3576
58.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9089
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6051
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
6124
7.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
22714
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (Q)
|
88% |
9371
751.2 IPS |
|
|
Face Detection (SP)
|
100% |
7343
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
7296
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
23958
284.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8305
64.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
23617
183.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16542
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16342
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62768
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3660
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12719
471.0 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
5252
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6881
118.5 IPS |
