LENOVO 83HM
Geekbench AI Score
7714
Single Precision Score
15197
Half Precision Score
5269
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | September 06 2025 12:53 PM |
| Views | 4 |
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% |
3177
590.8 IPS |
|
|
Image Classification (HP)
|
100% |
5575
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
2481
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7121
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13925
225.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5036
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21103
24.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
99191
115.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17697
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
4917
390.0 IPS |
|
|
Object Detection (HP)
|
100% |
9537
756.5 IPS |
|
|
Object Detection (Q)
|
88% |
4176
334.9 IPS |
|
|
Face Detection (SP)
|
100% |
9866
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
18437
219.1 IPS |
|
|
Face Detection (Q)
|
97% |
7152
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20481
157.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36826
283.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
12283
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52112
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
169043
217.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36929
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8533
315.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19291
712.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5239
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
820
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2931
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2691
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1282
24.0 IPS |
