LENOVO 90UT000PUS
Geekbench AI Score
5254
Single Precision Score
5011
Half Precision Score
12586
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ewmaki |
| Upload Date | August 19 2024 03:16 AM |
| 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 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% |
3556
661.3 IPS |
|
|
Image Classification (HP)
|
100% |
3517
654.1 IPS |
|
|
Image Classification (Q)
|
100% |
7866
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4188
67.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7051
114.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6713
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5898
6.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
21385
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3426
271.7 IPS |
|
|
Object Detection (HP)
|
100% |
3289
260.9 IPS |
|
|
Object Detection (Q)
|
88% |
8398
673.2 IPS |
|
|
Face Detection (SP)
|
100% |
10069
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
9779
116.2 IPS |
|
|
Face Detection (Q)
|
100% |
21788
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9189
70.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
9439
72.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
21782
172.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20657
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21343
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
75222
97.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4487
165.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4534
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14341
531.1 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1547
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4244
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3556
61.3 IPS |
|
|
Machine Translation (Q)
|
85% |
4609
80.6 IPS |
