Default string Default string
Geekbench AI Score
1546
Single Precision Score
718
Half Precision Score
2159
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | October 19 2025 07:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 3 N355 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (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 | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
99% |
1942
362.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1895
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1547
1.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
4749
5.57 IPS |
|
|
Object Detection (SP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
86% |
1658
133.2 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (Q)
|
97% |
3583
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2882
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
955
7.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
4783
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5018
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3811
4.90 IPS |
|
|
Style Transfer (Q)
|
98% |
8137
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
823
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1820
67.4 IPS |
|
|
Text Classification (SP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.5 IPS |
|
|
Text Classification (Q)
|
97% |
235
314.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
65% |
1277
25.7 IPS |
