LENOVO 83HM
Geekbench AI Score
6882
Single Precision Score
13030
Half Precision Score
4732
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Quokka |
| Upload Date | February 09 2025 08:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
3012
560.2 IPS |
|
|
Image Classification (HP)
|
100% |
3968
738.0 IPS |
|
|
Image Classification (Q)
|
100% |
2453
456.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6509
105.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12366
200.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4535
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20446
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
85805
100.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17280
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
4554
361.2 IPS |
|
|
Object Detection (HP)
|
100% |
7033
557.9 IPS |
|
|
Object Detection (Q)
|
88% |
3601
288.8 IPS |
|
|
Face Detection (SP)
|
100% |
8698
103.4 IPS |
|
|
Face Detection (HP)
|
100% |
16433
195.3 IPS |
|
|
Face Detection (Q)
|
97% |
6686
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18786
144.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36238
279.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12974
103.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48148
61.9 IPS |
|
|
Style Transfer (HP)
|
100% |
162589
209.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35394
45.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7162
264.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14028
518.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4619
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
527
706.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1090
20.4 IPS |
