LENOVO 83HM
Geekbench AI Score
3118
Single Precision Score
2136
Half Precision Score
8111
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CalledLuca |
| Upload Date | October 11 2025 03:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (HP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (Q)
|
100% |
5242
974.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4990
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3396
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2195
2.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
12540
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1806
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (Q)
|
88% |
5492
440.2 IPS |
|
|
Face Detection (SP)
|
100% |
5538
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
13563
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4621
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3170
24.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14198
110.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9729
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6367
8.18 IPS |
|
|
Style Transfer (Q)
|
98% |
35807
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1397
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7441
275.6 IPS |
|
|
Text Classification (SP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4382
5.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2673
46.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3043
52.4 IPS |
