XIAOMI Redmi Book Pro 15 2023
Geekbench AI Score
2486
Single Precision Score
1269
Half Precision Score
3489
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | npetroff |
| Upload Date | November 18 2024 08:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | XIAOMI Redmi Book Pro 15 2023 |
| Motherboard | XIAOMI TM2209 |
| Power Plan | Test |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.7 IPS |
|
|
Image Classification (Q)
|
99% |
4274
797.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2195
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4062
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
17032
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1747
138.6 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (Q)
|
88% |
1710
137.0 IPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
1434
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
4567
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5175
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1992
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4857
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10335
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9485
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20847
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1769
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2832
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
636
849.4 IPS |
|
|
Text Classification (Q)
|
97% |
398
533.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1884
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1880
41.9 IPS |
