LENOVO 83HM
Geekbench AI Score
11091
Single Precision Score
29453
Half Precision Score
35471
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | dd88 |
| Upload Date | December 22 2025 03:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
7158
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
15062
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
19539
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9294
150.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
26080
422.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31473
510.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23451
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
132612
154.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
258165
302.2 IPS |
|
|
Object Detection (SP)
|
100% |
6518
517.0 IPS |
|
|
Object Detection (HP)
|
100% |
16865
1.34 KIPS |
|
|
Object Detection (Q)
|
88% |
23970
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
13925
165.5 IPS |
|
|
Face Detection (HP)
|
100% |
32518
386.4 IPS |
|
|
Face Detection (Q)
|
100% |
47728
567.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23719
182.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59035
454.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
69303
538.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59470
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202209
259.9 IPS |
|
|
Style Transfer (Q)
|
98% |
294966
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9610
354.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34192
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41145
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
4281
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
92% |
3060
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6894
119.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6746
116.2 IPS |
