LENOVO 83HM
Geekbench AI Score
10389
Single Precision Score
24651
Half Precision Score
27226
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | September 06 2025 12:59 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (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% |
5998
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
12599
2.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15456
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9156
148.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25175
408.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28916
468.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22684
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
127813
149.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
240980
282.1 IPS |
|
|
Object Detection (SP)
|
100% |
6205
492.2 IPS |
|
|
Object Detection (HP)
|
100% |
13058
1.04 KIPS |
|
|
Object Detection (Q)
|
88% |
12995
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
14341
170.4 IPS |
|
|
Face Detection (HP)
|
100% |
32241
383.1 IPS |
|
|
Face Detection (Q)
|
100% |
42652
506.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23822
183.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
49165
378.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
59290
461.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51625
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
140190
180.2 IPS |
|
|
Style Transfer (Q)
|
98% |
150218
193.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9205
339.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23265
859.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25280
936.2 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4484
5.99 KIPS |
|
|
Text Classification (Q)
|
92% |
2448
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6754
116.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6803
117.2 IPS |
