System manufacturer System Product Name
Geekbench AI Score
1024
Single Precision Score
544
Half Precision Score
857
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 10 2026 01:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3340 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS V FORMULA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3340 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
96% |
635
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
514
8.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (Q)
|
97% |
682
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1375
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1076
1.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
1250
1.48 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
58% |
454
49.6 IPS |
|
|
Face Detection (SP)
|
100% |
1654
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
648
7.70 IPS |
|
|
Face Detection (Q)
|
96% |
1424
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1780
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
793
6.11 IPS |
|
|
Depth Estimation (Q)
|
78% |
1454
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3327
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2714
3.49 IPS |
|
|
Style Transfer (Q)
|
87% |
2853
3.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
700
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
619
826.6 IPS |
|
|
Text Classification (HP)
|
100% |
322
429.7 IPS |
|
|
Text Classification (Q)
|
97% |
259
346.7 IPS |
|
|
Machine Translation (SP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
368
6.35 IPS |
|
|
Machine Translation (Q)
|
68% |
820
15.8 IPS |
