LENOVO 83HM
Geekbench AI Score
10204
Single Precision Score
24060
Half Precision Score
26930
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | May 13 2025 01:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
6139
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
12239
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
15263
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9372
151.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24471
396.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28595
463.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23097
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
125645
146.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
238942
279.7 IPS |
|
|
Object Detection (SP)
|
100% |
6152
488.0 IPS |
|
|
Object Detection (HP)
|
100% |
13048
1.03 KIPS |
|
|
Object Detection (Q)
|
88% |
12995
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
13273
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
28189
334.9 IPS |
|
|
Face Detection (Q)
|
100% |
34291
407.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22147
170.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49527
381.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
55918
434.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51655
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
144321
185.5 IPS |
|
|
Style Transfer (Q)
|
98% |
167115
215.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9029
333.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24276
896.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26708
989.1 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4864
6.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3091
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5598
96.4 IPS |
