LENOVO 21QRCTO1WW
Geekbench AI Score
87
Single Precision Score
86
Half Precision Score
63
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | vbour |
| Upload Date | June 25 2025 03:45 PM |
| 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 | Ubuntu 25.04 |
| Model | LENOVO 21QRCTO1WW |
| Motherboard | LENOVO 21QRCTO1WW |
| 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 | 37.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.3 IPS |
|
|
Image Classification (Q)
|
97% |
42
7.82 IPS |
|
|
Image Segmentation (SP)
|
100% |
70
1.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
51
0.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
78
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
78
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
63
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
47
3.74 IPS |
|
|
Object Detection (HP)
|
100% |
47
3.75 IPS |
|
|
Object Detection (Q)
|
87% |
36
2.92 IPS |
|
|
Face Detection (SP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (HP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (Q)
|
97% |
123
1.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
113
0.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
112
0.87 IPS |
|
|
Depth Estimation (Q)
|
64% |
75
0.69 IPS |
|
|
Style Transfer (SP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
190
0.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51
1.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
40
1.48 IPS |
|
|
Text Classification (SP)
|
100% |
68
90.5 IPS |
|
|
Text Classification (HP)
|
100% |
68
90.6 IPS |
|
|
Text Classification (Q)
|
91% |
49
65.8 IPS |
|
|
Machine Translation (SP)
|
100% |
117
2.01 IPS |
|
|
Machine Translation (HP)
|
100% |
117
2.01 IPS |
|
|
Machine Translation (Q)
|
58% |
61
1.45 IPS |
