SFF ADV 32GB SATA-SATA i5 14 Default string Default string
Geekbench AI Score
1634
Single Precision Score
1682
Half Precision Score
1106
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 17 2025 12:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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 i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
100% |
593
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
767
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5217
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5709
6.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
3495
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (HP)
|
98% |
674
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
665
53.5 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1206
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3053
23.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3352
25.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2259
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10700
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14391
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7962
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2484
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
916
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
416
554.8 IPS |
|
|
Text Classification (Q)
|
97% |
355
476.0 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
70% |
368
6.90 IPS |
