ASUSTeK COMPUTER INC. ASUS EXPERTCENTER PM640KA
Geekbench AI Score
2852
Single Precision Score
1485
Half Precision Score
6872
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| 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% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
588
109.3 IPS |
|
|
Image Classification (Q)
|
99% |
6311
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7012
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4302
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
13925
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
5364
431.1 IPS |
|
|
Face Detection (SP)
|
100% |
4793
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
9130
108.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2161
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12375
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8894
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9611
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24348
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4976
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1692
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3069
61.7 IPS |
