LENOVO 83ML
Geekbench AI Score
4309
Single Precision Score
8110
Half Precision Score
12812
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83ML |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2870
533.8 IPS |
|
|
Image Classification (HP)
|
100% |
5300
985.7 IPS |
|
|
Image Classification (Q)
|
100% |
8328
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3242
52.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3101
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
32129
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
66646
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.7 IPS |
|
|
Object Detection (HP)
|
100% |
5321
422.0 IPS |
|
|
Object Detection (Q)
|
87% |
8408
674.8 IPS |
|
|
Face Detection (SP)
|
100% |
6738
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
12771
151.8 IPS |
|
|
Face Detection (Q)
|
100% |
25015
297.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6938
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16490
127.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
32651
254.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17949
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47823
61.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85651
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3231
119.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12595
465.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20730
767.7 IPS |
|
|
Text Classification (SP)
|
100% |
2783
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1965
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3009
51.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2892
49.8 IPS |
