LENOVO 21QL0044MH
Geekbench AI Score
89
Single Precision Score
88
Half Precision Score
67
Quantized Score
Geekbench AI 1.7.0 for Linux x86 (64-bit)
Result Information
| User | steffenb |
| Upload Date | March 13 2026 10:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | LENOVO 21QL0044MH |
| Motherboard | LENOVO 21QL0044MH |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 54.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.0 IPS |
|
|
Image Classification (Q)
|
97% |
45
8.40 IPS |
|
|
Image Segmentation (SP)
|
100% |
76
1.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
60
0.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
87
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
67
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.76 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.76 IPS |
|
|
Object Detection (Q)
|
87% |
39
3.10 IPS |
|
|
Face Detection (SP)
|
100% |
162
1.92 IPS |
|
|
Face Detection (HP)
|
100% |
162
1.93 IPS |
|
|
Face Detection (Q)
|
97% |
129
1.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
80
0.73 IPS |
|
|
Style Transfer (SP)
|
100% |
238
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
238
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
202
0.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51
1.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
42
1.57 IPS |
|
|
Text Classification (SP)
|
100% |
67
89.9 IPS |
|
|
Text Classification (HP)
|
100% |
67
89.9 IPS |
|
|
Text Classification (Q)
|
91% |
52
69.4 IPS |
|
|
Machine Translation (SP)
|
100% |
119
2.05 IPS |
|
|
Machine Translation (HP)
|
100% |
119
2.04 IPS |
|
|
Machine Translation (Q)
|
58% |
64
1.54 IPS |
