SFF ADV 32GB SATA-SATA i5 14a Default string Default string
Geekbench AI Score
1635
Single Precision Score
1687
Half Precision Score
1114
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 17 2025 02:21 AM |
| Views | 10 |
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% |
707
131.4 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.9 IPS |
|
|
Image Classification (Q)
|
100% |
615
114.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
765
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5217
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
5714
6.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
3494
4.09 IPS |
|
|
Object Detection (SP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (HP)
|
98% |
673
53.5 IPS |
|
|
Object Detection (Q)
|
86% |
667
53.6 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
1224
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3342
25.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2246
18.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10709
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14409
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7948
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2451
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
915
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
441
589.0 IPS |
|
|
Text Classification (Q)
|
97% |
372
499.0 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
364
6.83 IPS |
