LENOVO 90UT0000US
Geekbench AI Score
6592
Single Precision Score
6302
Half Precision Score
14623
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ipv4-army |
| Upload Date | May 04 2025 04:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
4168
775.1 IPS |
|
|
Image Classification (HP)
|
100% |
2340
435.2 IPS |
|
|
Image Classification (Q)
|
100% |
8967
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5237
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5448
88.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9691
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7941
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
8012
9.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
29329
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3753
297.7 IPS |
|
|
Object Detection (HP)
|
100% |
3811
302.3 IPS |
|
|
Object Detection (Q)
|
88% |
9438
756.6 IPS |
|
|
Face Detection (SP)
|
100% |
10521
125.0 IPS |
|
|
Face Detection (HP)
|
100% |
10678
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
22246
264.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9896
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9940
76.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25213
196.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23743
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24449
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
81974
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15645
579.4 IPS |
|
|
Text Classification (SP)
|
100% |
3715
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3705
4.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5082
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5087
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5091
87.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5085
87.6 IPS |
