LENOVO 83HM
Geekbench AI Score
3133
Single Precision Score
2173
Half Precision Score
8195
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | dd88 |
| Upload Date | December 22 2025 03:10 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (Q)
|
100% |
5288
983.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5046
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2092
2.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
12455
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (Q)
|
88% |
5407
433.5 IPS |
|
|
Face Detection (SP)
|
100% |
5424
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
4439
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
13426
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4755
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3248
25.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14109
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9625
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5948
7.65 IPS |
|
|
Style Transfer (Q)
|
98% |
36418
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7677
284.3 IPS |
|
|
Text Classification (SP)
|
100% |
2143
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
4406
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2805
48.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3261
56.2 IPS |
