SFF ADV 32GB SATA-SATA i3 12 Default string Default string
Geekbench AI Score
1297
Single Precision Score
1347
Half Precision Score
911
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 16 2025 07:34 PM |
| Views | 9 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
593
110.3 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.8 IPS |
|
|
Image Classification (Q)
|
100% |
521
96.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3548
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4079
4.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2577
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (HP)
|
98% |
557
44.3 IPS |
|
|
Object Detection (Q)
|
86% |
537
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
1011
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2358
18.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2583
20.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1798
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7406
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
10437
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
5761
7.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1307
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
740
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.4 IPS |
|
|
Text Classification (HP)
|
100% |
392
523.6 IPS |
|
|
Text Classification (Q)
|
97% |
331
443.7 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
70% |
332
6.24 IPS |
