LENOVO 21K5CTO1WW
Geekbench AI Score
2887
Single Precision Score
2931
Half Precision Score
7986
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 07:32 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21K5CTO1WW |
| Motherboard | LENOVO 21K5CTO1WW |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
328.9 IPS |
|
|
Image Classification (HP)
|
100% |
1981
368.4 IPS |
|
|
Image Classification (Q)
|
100% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4737
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3340
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3152
3.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
13509
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (Q)
|
88% |
4129
331.0 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3867
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
11486
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3856
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4095
31.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
12441
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10889
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11878
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
53873
69.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8422
311.9 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (Q)
|
92% |
4337
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2477
42.7 IPS |
