SFF ADV 32GB SATA-SATA i5 14 Default string Default string
Geekbench AI Score
3369
Single Precision Score
1287
Half Precision Score
4845
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 17 2025 12:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| 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% |
2473
459.8 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
99% |
4830
900.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2277
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5464
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
17939
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
615
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
4500
361.6 IPS |
|
|
Face Detection (SP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
7364
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7202
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1778
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12335
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12595
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8090
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21040
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2394
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3724
137.9 IPS |
|
|
Text Classification (SP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
600
800.6 IPS |
|
|
Text Classification (Q)
|
97% |
466
624.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2422
48.7 IPS |
