Default string Default string
Geekbench AI Score
1182
Single Precision Score
540
Half Precision Score
2267
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 03:44 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 3 N355 |
| 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(R) Core(TM) 3 N355 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
860
159.9 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
99% |
1673
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
2092
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1353
1.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
3716
4.36 IPS |
|
|
Object Detection (SP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.5 IPS |
|
|
Object Detection (Q)
|
86% |
1705
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
642
7.63 IPS |
|
|
Face Detection (Q)
|
97% |
3274
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2173
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
669
5.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
4147
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3536
4.55 IPS |
|
|
Style Transfer (HP)
|
100% |
3012
3.87 IPS |
|
|
Style Transfer (Q)
|
98% |
7116
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
589
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1768
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
376
501.7 IPS |
|
|
Text Classification (Q)
|
97% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
65% |
1211
24.3 IPS |
