HONOR BRI-XX
Geekbench AI Score
7688
Single Precision Score
10624
Half Precision Score
5962
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 02:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HONOR BRI-XX |
| Motherboard | HONOR BRI-XX-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (HP)
|
100% |
4326
804.6 IPS |
|
|
Image Classification (Q)
|
100% |
2705
503.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4070
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4579
74.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3297
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39145
45.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
65677
76.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30094
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2884
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
3841
304.7 IPS |
|
|
Object Detection (Q)
|
87% |
2663
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
6279
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
10673
126.8 IPS |
|
|
Face Detection (Q)
|
97% |
5304
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18104
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25315
195.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
14232
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
67324
86.5 IPS |
|
|
Style Transfer (HP)
|
100% |
106436
136.8 IPS |
|
|
Style Transfer (Q)
|
98% |
46764
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12386
457.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18475
682.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8677
321.3 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2802
48.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1636
30.7 IPS |
