LENOVO 20HAS2PB00
Geekbench AI Score
976
Single Precision Score
385
Half Precision Score
1403
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 04 2025 10:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7600U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | LENOVO 20HAS2PB00 |
| Motherboard | LENOVO 20HAS2PB00 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7600U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
589
109.6 IPS |
|
|
Image Classification (HP)
|
100% |
118
21.9 IPS |
|
|
Image Classification (Q)
|
94% |
1027
191.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1329
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
2276
2.69 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
58% |
729
79.7 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
244
2.89 IPS |
|
|
Face Detection (Q)
|
96% |
2443
29.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1648
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
558
4.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
2369
18.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3389
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2587
3.33 IPS |
|
|
Style Transfer (Q)
|
87% |
4497
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
355
473.5 IPS |
|
|
Text Classification (Q)
|
97% |
778
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1027
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (Q)
|
68% |
1009
19.5 IPS |
