LENOVO 83JG
Geekbench AI Score
14180
Single Precision Score
26305
Half Precision Score
11575
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | francaiseloq |
| Upload Date | March 26 2026 03:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83JG |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 250 w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10689
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5616
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10240
166.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15214
246.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9551
155.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
66292
77.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
225133
262.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
66134
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
7507
595.5 IPS |
|
|
Object Detection (HP)
|
100% |
13028
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
6814
546.9 IPS |
|
|
Face Detection (SP)
|
100% |
19164
227.7 IPS |
|
|
Face Detection (HP)
|
100% |
31150
370.1 IPS |
|
|
Face Detection (Q)
|
97% |
17579
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35289
271.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78543
605.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
30103
240.7 IPS |
|
|
Style Transfer (SP)
|
100% |
102434
131.7 IPS |
|
|
Style Transfer (HP)
|
100% |
354498
455.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87703
113.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19055
703.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37334
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14865
550.4 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3678
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1550
29.1 IPS |
