LENOVO 83JK
Geekbench AI Score
8807
Single Precision Score
12814
Half Precision Score
5806
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 13 2025 02:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83JK |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
4967
923.8 IPS |
|
|
Image Classification (HP)
|
100% |
6034
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
3752
699.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6753
109.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11389
184.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4399
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22333
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
41386
48.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18507
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
6118
485.3 IPS |
|
|
Object Detection (HP)
|
100% |
7455
591.3 IPS |
|
|
Object Detection (Q)
|
84% |
4495
362.9 IPS |
|
|
Face Detection (SP)
|
100% |
9924
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
16190
192.4 IPS |
|
|
Face Detection (Q)
|
97% |
6579
78.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19795
152.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32875
253.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
14503
116.2 IPS |
|
|
Style Transfer (SP)
|
100% |
61522
79.1 IPS |
|
|
Style Transfer (HP)
|
100% |
107606
138.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42373
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10369
382.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16868
622.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5962
220.8 IPS |
|
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
984
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3264
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1337
25.1 IPS |
