LENOVO 83HM
Geekbench AI Score
13932
Single Precision Score
17997
Half Precision Score
11726
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tangreg99 |
| Upload Date | May 21 2025 03:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
4433
824.4 IPS |
|
|
Image Classification (HP)
|
99% |
5585
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
4292
798.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7240
117.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7832
127.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6820
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
134425
156.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
235842
275.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
117718
137.8 IPS |
|
|
Object Detection (SP)
|
100% |
6328
501.9 IPS |
|
|
Object Detection (HP)
|
100% |
7887
625.6 IPS |
|
|
Object Detection (Q)
|
88% |
5477
439.2 IPS |
|
|
Face Detection (SP)
|
100% |
15582
185.2 IPS |
|
|
Face Detection (HP)
|
100% |
18252
216.9 IPS |
|
|
Face Detection (Q)
|
97% |
13718
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
47083
362.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
64896
500.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
37766
303.8 IPS |
|
|
Style Transfer (SP)
|
100% |
201916
259.6 IPS |
|
|
Style Transfer (HP)
|
100% |
348719
448.3 IPS |
|
|
Style Transfer (Q)
|
98% |
185017
238.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26490
978.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29297
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22797
844.1 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
99% |
1976
2.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1154
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1818
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1033
23.0 IPS |
