LENOVO 83E2
Geekbench AI Score
2622
Single Precision Score
1275
Half Precision Score
4770
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Vyven |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.4 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
99% |
4827
900.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3176
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5270
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3581
4.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
6462
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
4881
392.3 IPS |
|
|
Face Detection (SP)
|
100% |
6384
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
7365
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6366
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1904
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
12040
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12223
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8533
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
12367
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3821
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
600
800.7 IPS |
|
|
Text Classification (Q)
|
97% |
1268
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
551
9.50 IPS |
|
|
Machine Translation (Q)
|
65% |
2376
47.7 IPS |
