AZW SER
Geekbench AI Score
3546
Single Precision Score
1559
Half Precision Score
6497
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | qqice |
| Upload Date | June 05 2025 07:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.5 IPS |
|
|
Image Classification (Q)
|
99% |
7621
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
710
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3502
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6146
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4967
5.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
23298
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (Q)
|
86% |
7121
572.3 IPS |
|
|
Face Detection (SP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10129
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8025
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2422
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7089
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15442
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12274
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26030
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2295
84.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2152
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3155
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
715
955.0 IPS |
|
|
Text Classification (Q)
|
97% |
1743
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2104
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
745
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2949
59.3 IPS |
