Default string Default string
Geekbench AI Score
620
Single Precision Score
256
Half Precision Score
1223
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | AndyMcSchopf |
| Upload Date | January 07 2025 08:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel 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% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
46
8.57 IPS |
|
|
Image Classification (Q)
|
97% |
372
69.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
426
6.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
810
0.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
2387
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.66 IPS |
|
|
Object Detection (Q)
|
86% |
1059
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
180
2.14 IPS |
|
|
Face Detection (Q)
|
97% |
2748
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
429
3.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
2526
20.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2808
3.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2031
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3943
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
425
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
640
853.9 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.9 IPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.23 IPS |
|
|
Machine Translation (Q)
|
65% |
846
17.0 IPS |
