LENOVO 21F8004BUS
Geekbench AI Score
2207
Single Precision Score
1094
Half Precision Score
4960
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21F8004BUS |
| Motherboard | LENOVO 21F8004BUS |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1790
332.9 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
99% |
5083
948.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
2533
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3418
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
14156
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1633
129.5 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
5004
402.1 IPS |
|
|
Face Detection (SP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
1126
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6783
80.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4640
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1769
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
9054
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8295
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7229
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
17877
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2464
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
541
722.2 IPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (Q)
|
65% |
2475
49.7 IPS |
