LENOVO 83HM
Geekbench AI Score
2460
Single Precision Score
1285
Half Precision Score
4836
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 12:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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(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% |
1751
325.6 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.1 IPS |
|
|
Image Classification (Q)
|
99% |
3873
722.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2433
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3107
3.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
11731
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
3893
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
4960
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
6651
79.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4515
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1916
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10222
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7993
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6450
8.29 IPS |
|
|
Style Transfer (Q)
|
98% |
17176
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3380
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.5 IPS |
|
|
Text Classification (Q)
|
97% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2573
51.7 IPS |
