LENOVO 20HAS2PB00
Geekbench AI Score
1232
Single Precision Score
1238
Half Precision Score
1871
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | March 04 2025 10:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7600U CPU @ 2.80GHz |
| 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% |
764
142.0 IPS |
|
|
Image Classification (HP)
|
100% |
765
142.3 IPS |
|
|
Image Classification (Q)
|
100% |
1195
222.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1332
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1262
1.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
2408
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
87% |
1146
91.9 IPS |
|
|
Face Detection (SP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
2905
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1775
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1785
13.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
2872
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3750
4.82 IPS |
|
|
Style Transfer (HP)
|
100% |
3808
4.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6966
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1485
55.0 IPS |
|
|
Text Classification (SP)
|
100% |
971
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
91% |
986
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1469
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1448
24.9 IPS |
