LENOVO 83D5
Geekbench AI Score
7219
Single Precision Score
9803
Half Precision Score
5639
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 01:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 760M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83D5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (HP)
|
100% |
3824
711.1 IPS |
|
|
Image Classification (Q)
|
100% |
2800
520.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4117
66.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3379
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35282
41.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
65246
76.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27906
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (Q)
|
87% |
2260
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
5830
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
8108
96.3 IPS |
|
|
Face Detection (Q)
|
97% |
5011
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16110
124.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21972
169.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12852
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55288
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
87869
113.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40727
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9134
337.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18775
693.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7846
290.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3151
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1591
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1665
31.2 IPS |
