LENOVO 21FFFVT015
Geekbench AI Score
8422
Single Precision Score
12096
Half Precision Score
6182
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 01:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| 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% |
3286
611.1 IPS |
|
|
Image Classification (HP)
|
100% |
5043
937.8 IPS |
|
|
Image Classification (Q)
|
100% |
3103
577.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4026
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3330
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
43341
50.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
77185
90.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30488
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
2903
230.3 IPS |
|
|
Object Detection (HP)
|
100% |
4100
325.3 IPS |
|
|
Object Detection (Q)
|
87% |
2636
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
6196
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
11600
137.8 IPS |
|
|
Face Detection (Q)
|
97% |
5146
61.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19111
147.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27870
214.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
14233
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
73718
94.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120104
154.4 IPS |
|
|
Style Transfer (Q)
|
98% |
48495
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14381
531.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21363
788.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9046
335.0 IPS |
|
|
Text Classification (SP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1765
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1732
32.5 IPS |
