LENOVO 83E2
Geekbench AI Score
2764
Single Precision Score
1219
Half Precision Score
3512
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E2 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.0 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
2952
550.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5408
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3546
4.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
19451
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1749
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.9 IPS |
|
|
Object Detection (Q)
|
88% |
1487
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
1342
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
3379
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6064
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
6752
54.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12750
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8663
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19178
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2281
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3625
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
558
745.3 IPS |
|
|
Text Classification (Q)
|
97% |
467
625.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1831
40.8 IPS |
