Default string Default string
Geekbench AI Score
942
Single Precision Score
941
Half Precision Score
1819
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 08:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
100% |
1108
206.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1170
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
988
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
2394
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
536
42.6 IPS |
|
|
Object Detection (Q)
|
88% |
1111
89.0 IPS |
|
|
Face Detection (SP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
100% |
2811
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1446
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1402
10.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
3039
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2974
3.82 IPS |
|
|
Style Transfer (HP)
|
100% |
2971
3.82 IPS |
|
|
Style Transfer (Q)
|
98% |
7177
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1490
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
691
921.9 IPS |
|
|
Text Classification (HP)
|
100% |
693
925.2 IPS |
|
|
Text Classification (Q)
|
92% |
1203
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1047
18.0 IPS |
