LENOVO 83JU
Geekbench AI Score
6017
Single Precision Score
8962
Half Precision Score
4614
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Esseboy |
| Upload Date | June 21 2025 10:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
3172
589.8 IPS |
|
|
Image Classification (Q)
|
100% |
2069
384.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3462
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3387
54.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2826
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23474
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
45364
52.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19492
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
2368
187.9 IPS |
|
|
Object Detection (Q)
|
87% |
1634
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
5990
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
9458
112.4 IPS |
|
|
Face Detection (Q)
|
97% |
4742
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12710
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20359
156.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10610
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40396
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
75542
97.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36603
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8757
323.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17769
656.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6190
229.2 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3012
4.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1636
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3398
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1260
23.6 IPS |
