LENOVO 21F8CTO1WW
Geekbench AI Score
2393
Single Precision Score
1259
Half Precision Score
3478
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zamroni111 |
| Upload Date | September 25 2024 08:33 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| 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% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
3902
727.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2027
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3283
3.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
18004
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
100% |
579
45.9 IPS |
|
|
Object Detection (Q)
|
88% |
1636
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1376
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
4433
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4835
37.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4917
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10182
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9194
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21408
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2986
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
1765
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.2 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1806
40.3 IPS |
