2025 Slim Desktop ASUS System Product Name
Geekbench AI Score
3272
Single Precision Score
4303
Half Precision Score
2311
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TheSultan1 |
| Upload Date | June 01 2025 12:04 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B860M-A WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1904
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
2749
511.3 IPS |
|
|
Image Classification (Q)
|
99% |
1592
296.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3755
60.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1224
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7474
8.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
10389
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
6558
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
2119
168.1 IPS |
|
|
Object Detection (HP)
|
99% |
2540
202.0 IPS |
|
|
Object Detection (Q)
|
85% |
1586
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
4199
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4343
51.6 IPS |
|
|
Face Detection (Q)
|
97% |
2923
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6348
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10083
77.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
4793
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19224
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26296
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15428
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4854
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2413
89.3 IPS |
|
|
Text Classification (SP)
|
86% |
816
1.10 KIPS |
|
|
Text Classification (HP)
|
99% |
721
962.0 IPS |
|
|
Text Classification (Q)
|
84% |
482
653.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
855
16.0 IPS |
