LENOVO 90UT0000US
Geekbench AI Score
4714
Single Precision Score
1655
Half Precision Score
7783
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ipv4-army |
| Upload Date | May 04 2025 04:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | LENOVO 90UT0000US |
| Motherboard | LENOVO 3769 |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3873
720.3 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (Q)
|
99% |
7134
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3867
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8038
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4528
5.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
27728
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3253
258.0 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (Q)
|
86% |
7215
579.9 IPS |
|
|
Face Detection (SP)
|
100% |
8450
100.4 IPS |
|
|
Face Detection (HP)
|
100% |
1798
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
11058
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10218
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2222
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16508
131.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19210
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11474
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21192
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3427
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1954
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3812
76.6 IPS |
