DELNB16 LENOVO 21MA004UGE
Geekbench AI Score
4312
Single Precision Score
6920
Half Precision Score
3068
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hsvadmin |
| Upload Date | June 25 2025 08:14 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2212
411.4 IPS |
|
|
Image Classification (HP)
|
100% |
4156
772.9 IPS |
|
|
Image Classification (Q)
|
100% |
1905
354.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2766
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6913
112.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2269
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12218
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18686
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10571
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
99% |
4757
378.4 IPS |
|
|
Object Detection (Q)
|
86% |
1875
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7537
89.6 IPS |
|
|
Face Detection (Q)
|
97% |
3155
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8561
66.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
18146
140.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
6878
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38946
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60990
78.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27914
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6566
242.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9963
367.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.4 IPS |
|
|
Text Classification (SP)
|
86% |
727
983.6 IPS |
|
|
Text Classification (HP)
|
99% |
613
818.7 IPS |
|
|
Text Classification (Q)
|
84% |
466
632.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (Q)
|
70% |
896
16.8 IPS |
