LENOVO 83JK
Geekbench AI Score
10929
Single Precision Score
24798
Half Precision Score
31042
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Astra |
| Upload Date | May 13 2025 03:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
7085
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13326
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
17126
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9371
151.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22327
361.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27341
443.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25266
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
104575
122.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
194842
228.1 IPS |
|
|
Object Detection (SP)
|
100% |
6988
554.3 IPS |
|
|
Object Detection (HP)
|
100% |
15044
1.19 KIPS |
|
|
Object Detection (Q)
|
88% |
18172
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
12939
153.7 IPS |
|
|
Face Detection (HP)
|
100% |
26499
314.9 IPS |
|
|
Face Detection (Q)
|
100% |
34908
414.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23143
178.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51757
398.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
69106
537.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64448
82.8 IPS |
|
|
Style Transfer (HP)
|
100% |
177512
228.2 IPS |
|
|
Style Transfer (Q)
|
98% |
281045
362.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10556
389.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32568
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39973
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3315
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (Q)
|
92% |
3427
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3073
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5485
94.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5397
93.0 IPS |
