LENOVO 83HM
Geekbench AI Score
7746
Single Precision Score
14660
Half Precision Score
5173
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | February 16 2025 01:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
3875
720.6 IPS |
|
|
Image Classification (HP)
|
100% |
5331
991.4 IPS |
|
|
Image Classification (Q)
|
100% |
2761
513.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6873
111.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12933
209.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4816
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20412
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88750
103.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16809
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
4882
387.3 IPS |
|
|
Object Detection (HP)
|
100% |
8405
666.7 IPS |
|
|
Object Detection (Q)
|
88% |
3911
313.6 IPS |
|
|
Face Detection (SP)
|
100% |
10078
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
19160
227.7 IPS |
|
|
Face Detection (Q)
|
97% |
7097
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19201
147.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
37672
290.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12143
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50659
65.1 IPS |
|
|
Style Transfer (HP)
|
100% |
173978
223.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36859
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9016
332.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16199
598.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5283
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (Q)
|
97% |
724
969.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2990
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |
