LENOVO 83JM
Geekbench AI Score
4859
Single Precision Score
4064
Half Precision Score
12057
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| 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% |
2851
530.3 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.5 IPS |
|
|
Image Classification (Q)
|
100% |
8513
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3846
62.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8369
135.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
5269
6.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
23792
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (HP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (Q)
|
88% |
8617
690.8 IPS |
|
|
Face Detection (SP)
|
100% |
7730
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
7209
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
17298
205.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7543
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6419
49.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
19206
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18744
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14073
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
65754
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3408
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2960
109.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11300
418.5 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
5335
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3376
58.2 IPS |
