LENOVO 21F8CTO1WW
Geekbench AI Score
6584
Single Precision Score
9434
Half Precision Score
5215
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zamroni111 |
| Upload Date | September 25 2024 01:45 AM |
| Views | 14 |
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% |
2993
556.7 IPS |
|
|
Image Classification (HP)
|
100% |
3994
742.7 IPS |
|
|
Image Classification (Q)
|
100% |
2392
444.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3974
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4283
69.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3227
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
33678
39.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
54178
63.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27783
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (Q)
|
89% |
1865
149.3 IPS |
|
|
Face Detection (SP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
8772
104.2 IPS |
|
|
Face Detection (Q)
|
97% |
4219
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15076
116.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19875
153.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
11656
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56966
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
84688
108.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43871
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9771
360.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17328
639.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8330
308.5 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1723
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1202
26.8 IPS |
