LENOVO 83KJ
Geekbench AI Score
6911
Single Precision Score
7962
Half Precision Score
4713
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 10:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83KJ |
| 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% |
3898
724.8 IPS |
|
|
Image Classification (HP)
|
100% |
4469
831.2 IPS |
|
|
Image Classification (Q)
|
100% |
3037
564.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3895
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8549
138.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2992
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26984
31.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
25945
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22125
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
4348
344.9 IPS |
|
|
Object Detection (HP)
|
99% |
4877
387.9 IPS |
|
|
Object Detection (Q)
|
89% |
3140
251.3 IPS |
|
|
Face Detection (SP)
|
100% |
7208
85.6 IPS |
|
|
Face Detection (HP)
|
100% |
8375
99.5 IPS |
|
|
Face Detection (Q)
|
97% |
4715
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16284
125.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
18933
146.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
11466
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
61116
78.6 IPS |
|
|
Style Transfer (HP)
|
100% |
62389
80.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43266
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9816
362.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13725
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6162
228.2 IPS |
|
|
Text Classification (SP)
|
86% |
857
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
83% |
640
870.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2028
34.9 IPS |
|
|
Machine Translation (Q)
|
60% |
929
20.7 IPS |
