LENOVO 83HM
Geekbench AI Score
7365
Single Precision Score
12118
Half Precision Score
4866
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 07:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3782
703.3 IPS |
|
|
Image Classification (HP)
|
100% |
5128
953.7 IPS |
|
|
Image Classification (Q)
|
100% |
3138
583.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6762
109.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12584
204.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4947
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21085
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
91526
106.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17922
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
4583
363.5 IPS |
|
|
Object Detection (HP)
|
100% |
6769
536.9 IPS |
|
|
Object Detection (Q)
|
89% |
3365
269.3 IPS |
|
|
Face Detection (SP)
|
100% |
8473
100.7 IPS |
|
|
Face Detection (HP)
|
100% |
13792
163.9 IPS |
|
|
Face Detection (Q)
|
97% |
6016
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19376
149.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
38254
294.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
11948
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
54980
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
91094
117.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39967
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9630
355.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14221
525.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5253
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (Q)
|
97% |
696
931.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (Q)
|
60% |
757
16.9 IPS |
