LENOVO 21FE001TUS
Geekbench AI Score
6846
Single Precision Score
9626
Half Precision Score
4928
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fernandogmo |
| Upload Date | December 10 2024 08:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21FE001TUS |
| Motherboard | LENOVO 21FE001TUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2179
405.1 IPS |
|
|
Image Classification (HP)
|
100% |
3598
669.2 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3765
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3023
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42312
49.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
73394
85.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29793
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
2387
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
3275
259.7 IPS |
|
|
Object Detection (Q)
|
87% |
2111
169.6 IPS |
|
|
Face Detection (SP)
|
100% |
5699
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
9368
111.3 IPS |
|
|
Face Detection (Q)
|
97% |
4864
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14913
114.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20750
159.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10871
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
70400
90.5 IPS |
|
|
Style Transfer (HP)
|
100% |
107816
138.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46184
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10678
394.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16079
593.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6224
230.5 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1981
2.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1352
25.3 IPS |
