LENOVO 21F8CTO1WW
Geekbench AI Score
6404
Single Precision Score
8377
Half Precision Score
4875
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zamroni111 |
| Upload Date | September 25 2024 08:28 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 21F8CTO1WW |
| Motherboard | LENOVO 21F8CTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2856
531.1 IPS |
|
|
Image Classification (HP)
|
100% |
3629
674.8 IPS |
|
|
Image Classification (Q)
|
100% |
1954
363.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3956
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3994
64.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3169
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
30448
35.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49114
57.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
25530
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
2715
215.4 IPS |
|
|
Object Detection (Q)
|
89% |
1841
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
5399
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
8349
99.2 IPS |
|
|
Face Detection (Q)
|
97% |
4218
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14663
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18960
146.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
11121
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51985
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
76718
98.6 IPS |
|
|
Style Transfer (Q)
|
98% |
41583
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9128
337.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15966
589.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6920
256.2 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2483
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1167
26.0 IPS |
