LENOVO 83ML
Geekbench AI Score
8971
Single Precision Score
18202
Half Precision Score
25022
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 07:21 AM |
| Views | 2 |
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% |
6042
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8367
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
13137
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7030
114.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13391
217.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18602
301.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21507
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88921
103.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
168113
196.8 IPS |
|
|
Object Detection (SP)
|
100% |
5835
462.8 IPS |
|
|
Object Detection (HP)
|
100% |
9491
752.8 IPS |
|
|
Object Detection (Q)
|
88% |
13560
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
10189
121.1 IPS |
|
|
Face Detection (HP)
|
100% |
19618
233.1 IPS |
|
|
Face Detection (Q)
|
100% |
32308
383.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19891
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34272
264.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
51770
402.4 IPS |
|
|
Style Transfer (SP)
|
100% |
51606
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
149586
192.3 IPS |
|
|
Style Transfer (Q)
|
98% |
227416
293.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8822
325.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27399
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34232
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3268
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3963
68.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4059
69.9 IPS |
