LENOVO 83ML
Geekbench AI Score
8885
Single Precision Score
18171
Half Precision Score
24752
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) (iGPU) |
| 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% |
5998
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8171
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
12957
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7027
113.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13438
217.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18664
302.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21253
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
86860
101.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
167615
196.2 IPS |
|
|
Object Detection (SP)
|
100% |
5777
458.2 IPS |
|
|
Object Detection (HP)
|
100% |
9493
753.0 IPS |
|
|
Object Detection (Q)
|
88% |
13789
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
9710
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
19456
231.2 IPS |
|
|
Face Detection (Q)
|
100% |
31585
375.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19110
147.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33958
261.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
51224
398.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51295
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145727
187.3 IPS |
|
|
Style Transfer (Q)
|
98% |
217547
280.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8796
324.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26967
995.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33940
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
92% |
3270
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4097
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3954
68.1 IPS |
