LENOVO 83HM
Geekbench AI Score
6375
Single Precision Score
11595
Half Precision Score
4439
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | February 04 2025 03:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
2904
540.0 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.7 IPS |
|
|
Image Classification (Q)
|
100% |
2157
401.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5965
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11861
192.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4457
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19814
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
77825
90.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16341
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
3873
307.2 IPS |
|
|
Object Detection (HP)
|
100% |
6390
506.9 IPS |
|
|
Object Detection (Q)
|
88% |
3167
254.0 IPS |
|
|
Face Detection (SP)
|
100% |
8033
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
15813
187.9 IPS |
|
|
Face Detection (Q)
|
97% |
5965
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17573
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33679
259.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12335
98.6 IPS |
|
|
Style Transfer (SP)
|
100% |
47663
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154512
198.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34809
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7216
266.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13645
503.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4754
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
658
878.4 IPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
489
655.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2395
41.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1003
18.8 IPS |
