LENOVO 83JC
Geekbench AI Score
15950
Single Precision Score
26474
Half Precision Score
12397
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 07:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6548
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10719
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
5932
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10533
170.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13780
223.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9648
156.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
88442
103.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
230971
269.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
78831
92.3 IPS |
|
|
Object Detection (SP)
|
100% |
7928
628.8 IPS |
|
|
Object Detection (HP)
|
100% |
13970
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
6639
531.4 IPS |
|
|
Face Detection (SP)
|
100% |
16664
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
25451
302.4 IPS |
|
|
Face Detection (Q)
|
97% |
14001
166.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36137
278.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74690
575.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
29154
234.2 IPS |
|
|
Style Transfer (SP)
|
100% |
136399
175.3 IPS |
|
|
Style Transfer (HP)
|
100% |
346179
445.0 IPS |
|
|
Style Transfer (Q)
|
98% |
122684
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26782
988.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43422
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20127
745.3 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3488
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1473
32.8 IPS |
