LENOVO 21M10038AU
Geekbench AI Score
6703
Single Precision Score
9915
Half Precision Score
5055
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | unityoc |
| Upload Date | April 29 2025 09:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21M10038AU |
| Motherboard | LENOVO 21M10038AU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 360 w/ Radeon 880M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 5 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1917
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
4065
756.0 IPS |
|
|
Image Classification (Q)
|
100% |
1700
316.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4824
78.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3532
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
31633
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
55471
64.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25333
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
2831
224.6 IPS |
|
|
Object Detection (Q)
|
87% |
2018
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
6416
76.2 IPS |
|
|
Face Detection (HP)
|
100% |
10234
121.6 IPS |
|
|
Face Detection (Q)
|
97% |
5411
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15032
115.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21040
162.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12013
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56565
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
89996
115.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42591
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8981
331.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20920
772.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6232
230.7 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1626
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1267
23.8 IPS |
