LENOVO 90UT000PUS
Geekbench AI Score
3368
Single Precision Score
813
Half Precision Score
4126
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ewmaki |
| Upload Date | August 19 2024 03:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90UT000PUS |
| Motherboard | LENOVO 3769 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
4245
791.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
2411
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6226
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
4769
5.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
20515
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2006
159.1 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
88% |
1864
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
3282
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (Q)
|
97% |
3753
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6957
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
915
7.05 IPS |
|
|
Depth Estimation (Q)
|
76% |
8504
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17639
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11733
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20561
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2557
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4241
157.0 IPS |
|
|
Text Classification (SP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.6 IPS |
|
|
Text Classification (Q)
|
97% |
550
736.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2392
53.4 IPS |
