LENOVO 83D4
Geekbench AI Score
2820
Single Precision Score
2791
Half Precision Score
6716
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 13 2024 05:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83D4 |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
1640
305.0 IPS |
|
|
Image Classification (HP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (Q)
|
100% |
3839
713.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3624
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4617
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
4596
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
16763
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (Q)
|
88% |
4241
340.0 IPS |
|
|
Face Detection (SP)
|
100% |
5138
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
10036
119.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5337
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5339
41.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9673
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12771
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12832
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41106
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2203
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7230
267.8 IPS |
|
|
Text Classification (SP)
|
100% |
596
795.2 IPS |
|
|
Text Classification (HP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (Q)
|
92% |
2836
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2309
39.8 IPS |
