DELNB16 LENOVO 21MA004UGE
Geekbench AI Score
6888
Single Precision Score
10316
Half Precision Score
15393
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | June 25 2025 08:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4939
918.5 IPS |
|
|
Image Classification (HP)
|
100% |
6971
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
8796
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4546
73.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10941
177.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15206
246.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17308
20.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
17271
20.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
53907
63.1 IPS |
|
|
Object Detection (SP)
|
100% |
4761
377.7 IPS |
|
|
Object Detection (HP)
|
100% |
7453
591.1 IPS |
|
|
Object Detection (Q)
|
88% |
11176
895.6 IPS |
|
|
Face Detection (SP)
|
100% |
7512
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
13937
165.6 IPS |
|
|
Face Detection (Q)
|
100% |
20347
241.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17931
138.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
30347
234.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
30508
237.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43765
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55403
71.2 IPS |
|
|
Style Transfer (Q)
|
98% |
133145
171.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7258
268.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12213
451.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18966
702.4 IPS |
|
|
Text Classification (SP)
|
71% |
1353
1.96 KIPS |
|
|
Text Classification (HP)
|
71% |
1978
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
2053
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2457
42.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2881
49.6 IPS |
