LENOVO 21F8CTO1WW
Geekbench AI Score
6876
Single Precision Score
8980
Half Precision Score
5012
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zamroni111 |
| Upload Date | September 25 2024 01:48 AM |
| Views | 9 |
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% |
2976
553.4 IPS |
|
|
Image Classification (HP)
|
100% |
3978
739.8 IPS |
|
|
Image Classification (Q)
|
100% |
1895
352.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3921
63.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4260
69.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3249
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
33428
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
55020
64.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27681
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
2928
232.2 IPS |
|
|
Object Detection (Q)
|
89% |
1869
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
5478
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
8704
103.4 IPS |
|
|
Face Detection (Q)
|
97% |
4196
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15264
117.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19998
154.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
11495
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57416
73.8 IPS |
|
|
Style Transfer (HP)
|
100% |
85343
109.7 IPS |
|
|
Style Transfer (Q)
|
98% |
44579
57.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9305
343.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17630
651.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7324
271.2 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1728
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1154
25.7 IPS |
