LENOVO 83DD
Geekbench AI Score
7461
Single Precision Score
10496
Half Precision Score
5683
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | baraka1999 |
| Upload Date | March 17 2026 05:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DD |
| 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% |
2961
550.6 IPS |
|
|
Image Classification (HP)
|
100% |
3862
718.2 IPS |
|
|
Image Classification (Q)
|
100% |
2668
496.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4198
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4920
79.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3330
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
35642
41.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
67626
78.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
27737
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
3276
259.9 IPS |
|
|
Object Detection (Q)
|
87% |
2385
191.6 IPS |
|
|
Face Detection (SP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
11185
132.9 IPS |
|
|
Face Detection (Q)
|
97% |
5344
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16645
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24488
188.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13254
106.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59832
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
104614
134.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43378
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12184
449.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19609
724.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7851
290.7 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1525
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1626
30.5 IPS |
