LENOVO 21FFFVT015
Geekbench AI Score
3228
Single Precision Score
1424
Half Precision Score
6659
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 01:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21FFFVT015 |
| Motherboard | LENOVO 21FFFVT015 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 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% |
2871
533.9 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (Q)
|
99% |
6551
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8360
135.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5482
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4649
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
20409
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
86% |
6489
521.5 IPS |
|
|
Face Detection (SP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
8191
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7019
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6104
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13389
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11257
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24552
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2044
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5124
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
1779
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.1 IPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2752
55.3 IPS |
