Default string Default string
Geekbench AI Score
1445
Single Precision Score
1443
Half Precision Score
3156
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 03:56 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
844
157.0 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
100% |
2085
387.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2316
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
4345
5.09 IPS |
|
|
Object Detection (SP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (HP)
|
100% |
828
65.6 IPS |
|
|
Object Detection (Q)
|
88% |
2097
168.1 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (Q)
|
100% |
5248
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2147
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2167
16.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5063
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4707
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4774
6.14 IPS |
|
|
Style Transfer (Q)
|
98% |
12958
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
979
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2888
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1052
1.40 KIPS |
|
|
Text Classification (Q)
|
92% |
1519
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1476
25.4 IPS |
