DELNB16 LENOVO 21MA004UGE
Geekbench AI Score
2437
Single Precision Score
2276
Half Precision Score
5635
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | June 25 2025 08:00 PM |
| Views | 12 |
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 21MA004UGE |
| Motherboard | LENOVO 21MA004UGE |
| Power Plan | Ausbalanciert |
| 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% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
1299
241.6 IPS |
|
|
Image Classification (Q)
|
100% |
4755
884.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3821
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4015
4.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3645
4.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
12019
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
100% |
1254
99.5 IPS |
|
|
Object Detection (Q)
|
88% |
3505
280.9 IPS |
|
|
Face Detection (SP)
|
100% |
4146
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
3968
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
8150
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3537
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2924
22.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8157
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7871
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7334
9.43 IPS |
|
|
Style Transfer (Q)
|
98% |
26509
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5265
195.0 IPS |
|
|
Text Classification (SP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
3162
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1438
24.8 IPS |
