SFF ADV 16GB Default string Default string
Geekbench AI Score
1285
Single Precision Score
1352
Half Precision Score
906
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 23 2025 02:03 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
579
107.6 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
100% |
497
92.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
629
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3448
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
4036
4.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2542
2.98 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
98% |
559
44.5 IPS |
|
|
Object Detection (Q)
|
86% |
540
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1376
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
977
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2337
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2572
19.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1785
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7364
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
10405
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
5641
7.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1864
68.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
658
878.4 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.3 IPS |
|
|
Text Classification (Q)
|
97% |
356
476.6 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
70% |
341
6.40 IPS |
