SFF ADV 32GB SATA-SATA i3 14 Default string Default string
Geekbench AI Score
1372
Single Precision Score
1426
Half Precision Score
968
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 16 2025 08:46 PM |
| Views | 6 |
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 i3-14100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.6 IPS |
|
|
Image Classification (Q)
|
100% |
531
98.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
855
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
673
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3776
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4365
5.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
2755
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
98% |
590
46.9 IPS |
|
|
Object Detection (Q)
|
86% |
572
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
1073
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2519
19.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2748
21.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1922
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7888
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11125
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
6133
7.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
787
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.2 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.0 IPS |
|
|
Text Classification (Q)
|
97% |
369
493.8 IPS |
|
|
Machine Translation (SP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
70% |
350
6.56 IPS |
