LENOVO 21F8CTO1WW
Geekbench AI Score
6744
Single Precision Score
9054
Half Precision Score
4946
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zamroni111 |
| Upload Date | September 25 2024 08:13 AM |
| Views | 11 |
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% |
2986
555.4 IPS |
|
|
Image Classification (HP)
|
100% |
3983
740.7 IPS |
|
|
Image Classification (Q)
|
100% |
1841
342.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3951
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3221
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34025
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53617
62.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
27470
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
3207
254.3 IPS |
|
|
Object Detection (Q)
|
89% |
1878
150.3 IPS |
|
|
Face Detection (SP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
8732
103.7 IPS |
|
|
Face Detection (Q)
|
97% |
4229
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15233
117.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19857
153.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
11482
92.6 IPS |
|
|
Style Transfer (SP)
|
100% |
57619
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85982
110.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44603
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9796
361.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17653
651.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7108
263.2 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2582
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1891
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1091
24.3 IPS |
