LENOVO 21F9S1WG01
Geekbench AI Score
6896
Single Precision Score
9649
Half Precision Score
5365
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 06:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21F9S1WG01 |
| Motherboard | LENOVO 21F9S1WG01 |
| 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% |
2448
455.3 IPS |
|
|
Image Classification (HP)
|
100% |
3909
727.0 IPS |
|
|
Image Classification (Q)
|
100% |
2498
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4209
68.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3204
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31160
36.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53160
62.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
25613
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
3140
249.1 IPS |
|
|
Object Detection (Q)
|
87% |
2269
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
10595
125.9 IPS |
|
|
Face Detection (Q)
|
97% |
5088
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15467
119.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21990
169.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12486
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52992
68.1 IPS |
|
|
Style Transfer (HP)
|
100% |
87276
112.2 IPS |
|
|
Style Transfer (Q)
|
98% |
41577
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10598
391.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17806
657.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7205
266.8 IPS |
|
|
Text Classification (SP)
|
100% |
2025
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1429
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1563
29.3 IPS |
