LENOVO 23496C2
Geekbench AI Score
650
Single Precision Score
638
Half Precision Score
967
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | tatny23 |
| Upload Date | January 20 2025 10:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3720QM CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 23496C2 |
| Motherboard | LENOVO 23496C2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3720QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
530
8.58 IPS |
|
|
Image Segmentation (Q)
|
99% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
603
0.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
1339
1.57 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
334
26.5 IPS |
|
|
Object Detection (Q)
|
87% |
644
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
1036
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
1796
21.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1093
8.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.39 IPS |
|
|
Depth Estimation (Q)
|
81% |
1557
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1778
2.29 IPS |
|
|
Style Transfer (HP)
|
100% |
1771
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
3881
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
493
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
813
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.3 IPS |
|
|
Text Classification (HP)
|
100% |
592
790.0 IPS |
|
|
Text Classification (Q)
|
91% |
364
489.0 IPS |
|
|
Machine Translation (SP)
|
100% |
504
8.68 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
100% |
515
8.87 IPS |
