LENOVO 83E3
Geekbench AI Score
7449
Single Precision Score
11164
Half Precision Score
5619
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tatny23 |
| Upload Date | August 15 2025 11:18 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83E3 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (HP)
|
100% |
4483
833.7 IPS |
|
|
Image Classification (Q)
|
100% |
2757
512.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3912
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4706
76.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3254
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35792
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
67979
79.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
26650
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
3637
288.5 IPS |
|
|
Object Detection (Q)
|
87% |
2353
189.0 IPS |
|
|
Face Detection (SP)
|
100% |
5836
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
10473
124.4 IPS |
|
|
Face Detection (Q)
|
97% |
4985
59.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16242
125.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
27196
209.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12764
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
61472
79.0 IPS |
|
|
Style Transfer (HP)
|
100% |
105077
135.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39074
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12853
474.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21305
786.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8747
323.9 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2677
3.57 KIPS |
|
|
Text Classification (Q)
|
97% |
1561
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3249
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1644
30.8 IPS |
