LENOVO 83D5
Geekbench AI Score
4200
Single Precision Score
4177
Half Precision Score
10504
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | GiMEL |
| Upload Date | January 17 2025 09:10 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 83D5 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2437
453.2 IPS |
|
|
Image Classification (HP)
|
100% |
2268
421.7 IPS |
|
|
Image Classification (Q)
|
100% |
6195
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2632
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6436
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5795
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
5869
6.85 IPS |
|
|
Pose Estimation (Q)
|
98% |
22737
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
2394
189.9 IPS |
|
|
Object Detection (Q)
|
88% |
5834
467.7 IPS |
|
|
Face Detection (SP)
|
100% |
6114
72.6 IPS |
|
|
Face Detection (HP)
|
100% |
6294
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
14109
167.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6242
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6338
48.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
15807
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15736
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15325
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
55740
71.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13160
487.4 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3233
4.32 KIPS |
|
|
Text Classification (Q)
|
92% |
5283
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3256
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3579
61.6 IPS |
