LENOVO 83AM
Geekbench AI Score
6267
Single Precision Score
9201
Half Precision Score
5058
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD RadeonT 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 83AM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS with Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
3487
648.5 IPS |
|
|
Image Classification (Q)
|
100% |
2371
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4315
69.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2945
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
31634
36.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59403
69.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24647
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (Q)
|
87% |
2256
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
5112
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
9415
111.9 IPS |
|
|
Face Detection (Q)
|
97% |
4556
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13492
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22788
175.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12136
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60453
77.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93742
120.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40974
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10938
403.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17061
630.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7378
273.2 IPS |
|
|
Text Classification (SP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1244
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1360
25.5 IPS |
