LENOVO 83JM
Geekbench AI Score
7370
Single Precision Score
10351
Half Precision Score
5034
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Axelbruh |
| Upload Date | January 08 2026 02:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83JM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4055
754.2 IPS |
|
|
Image Classification (HP)
|
100% |
4942
919.1 IPS |
|
|
Image Classification (Q)
|
99% |
3166
590.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6140
99.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9587
155.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4099
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15448
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26087
30.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13652
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
4785
379.6 IPS |
|
|
Object Detection (HP)
|
100% |
5973
473.8 IPS |
|
|
Object Detection (Q)
|
87% |
3646
292.7 IPS |
|
|
Face Detection (SP)
|
100% |
8915
105.9 IPS |
|
|
Face Detection (HP)
|
100% |
14234
169.1 IPS |
|
|
Face Detection (Q)
|
97% |
6068
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15945
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24250
186.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11737
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51324
66.0 IPS |
|
|
Style Transfer (HP)
|
100% |
89816
115.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38177
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9046
334.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12593
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5624
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2693
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1237
23.2 IPS |
