XIAOMI Redmi Book Pro 15 2023
Geekbench AI Score
6104
Single Precision Score
7835
Half Precision Score
4745
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | npetroff |
| Upload Date | November 18 2024 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
2994
556.8 IPS |
|
|
Image Classification (Q)
|
100% |
2219
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3619
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3816
61.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3095
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
40037
46.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
71685
83.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29891
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
2719
215.7 IPS |
|
|
Object Detection (Q)
|
89% |
1819
145.6 IPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
6191
73.6 IPS |
|
|
Face Detection (Q)
|
97% |
3687
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15920
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22030
169.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
11691
94.3 IPS |
|
|
Style Transfer (SP)
|
100% |
70540
90.7 IPS |
|
|
Style Transfer (HP)
|
100% |
105704
135.9 IPS |
|
|
Style Transfer (Q)
|
98% |
46498
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12628
466.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16948
625.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8627
319.4 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
60% |
745
16.6 IPS |
