LENOVO 83E2
Geekbench AI Score
2675
Single Precision Score
2657
Half Precision Score
6552
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
1467
272.8 IPS |
|
|
Image Classification (Q)
|
100% |
4064
755.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4195
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
4395
5.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
15160
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (Q)
|
88% |
3716
297.9 IPS |
|
|
Face Detection (SP)
|
100% |
5236
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
5099
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
9625
114.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4958
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4895
37.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10234
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12482
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11831
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38586
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6763
250.5 IPS |
|
|
Text Classification (SP)
|
100% |
536
715.9 IPS |
|
|
Text Classification (HP)
|
100% |
573
764.3 IPS |
|
|
Text Classification (Q)
|
92% |
2757
3.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2177
37.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2145
36.9 IPS |
