LENOVO 82TB
Geekbench AI Score
4611
Single Precision Score
6199
Half Precision Score
9480
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 01:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82TB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2958
550.2 IPS |
|
|
Image Classification (HP)
|
100% |
4306
800.8 IPS |
|
|
Image Classification (Q)
|
99% |
5562
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7116
115.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9317
151.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9635
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
7013
8.18 IPS |
|
|
Pose Estimation (Q)
|
97% |
29242
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2793
221.5 IPS |
|
|
Object Detection (HP)
|
100% |
3997
317.1 IPS |
|
|
Object Detection (Q)
|
90% |
6651
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
7471
88.8 IPS |
|
|
Face Detection (HP)
|
100% |
10933
129.9 IPS |
|
|
Face Detection (Q)
|
100% |
16045
190.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9188
70.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
14926
115.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
19671
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24820
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35672
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
65913
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4096
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6311
233.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11471
424.8 IPS |
|
|
Text Classification (SP)
|
71% |
1222
1.77 KIPS |
|
|
Text Classification (HP)
|
71% |
1367
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
1262
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1945
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1933
33.3 IPS |
