LENOVO 20TLS0F800
Geekbench AI Score
2457
Single Precision Score
2367
Half Precision Score
3799
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | not2586 |
| Upload Date | August 20 2024 10:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20TLS0F800 |
| Motherboard | LENOVO 20TLS0F800 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (Q)
|
100% |
2643
491.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2847
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3461
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
3295
3.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
6278
7.36 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (Q)
|
87% |
2774
222.5 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
7149
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4187
32.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
4209
32.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
7128
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9540
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8393
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17225
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2687
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (Q)
|
91% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2189
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (Q)
|
90% |
1898
33.0 IPS |
