LENOVO 83F1
Geekbench AI Score
5040
Single Precision Score
4961
Half Precision Score
13841
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | igormzh |
| Upload Date | September 07 2025 11:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 w/ Radeon 860M |
| 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% |
2970
552.4 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
100% |
8882
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3475
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9487
153.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6154
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
23991
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2802
222.3 IPS |
|
|
Object Detection (HP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (Q)
|
88% |
8948
717.3 IPS |
|
|
Face Detection (SP)
|
100% |
7544
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
24118
286.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8234
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8081
62.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
23540
183.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16755
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16681
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
61750
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12449
461.0 IPS |
|
|
Text Classification (SP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (Q)
|
92% |
5101
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6410
110.4 IPS |
