LENOVO 83F1
Geekbench AI Score
6928
Single Precision Score
10585
Half Precision Score
5036
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | igormzh |
| Upload Date | September 07 2025 11:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83F1 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2224
413.5 IPS |
|
|
Image Classification (HP)
|
100% |
3581
665.9 IPS |
|
|
Image Classification (Q)
|
100% |
2154
400.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3635
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3893
63.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2957
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
36155
42.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69422
81.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26797
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
1878
149.0 IPS |
|
|
Object Detection (HP)
|
100% |
3112
246.9 IPS |
|
|
Object Detection (Q)
|
87% |
1763
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
9977
118.5 IPS |
|
|
Face Detection (Q)
|
97% |
4869
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14834
114.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21868
168.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
11262
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58457
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
100672
129.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40742
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10940
404.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20065
740.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7091
262.6 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1518
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1452
27.2 IPS |
