LENOVO 83JM
Geekbench AI Score
8794
Single Precision Score
12998
Half Precision Score
5848
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | August 19 2025 11:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5215
969.8 IPS |
|
|
Image Classification (HP)
|
100% |
6476
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
3815
711.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6729
109.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11403
184.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4265
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22996
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
41829
48.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19202
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
6197
491.6 IPS |
|
|
Object Detection (HP)
|
100% |
7663
607.8 IPS |
|
|
Object Detection (Q)
|
84% |
4414
356.3 IPS |
|
|
Face Detection (SP)
|
100% |
9437
112.1 IPS |
|
|
Face Detection (HP)
|
100% |
15661
186.1 IPS |
|
|
Face Detection (Q)
|
97% |
6521
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19259
148.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
30991
238.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
14090
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61427
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
108499
139.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44309
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9996
369.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17438
643.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6220
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
1634
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (Q)
|
97% |
995
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1347
25.3 IPS |
