AZW SER
Geekbench AI Score
3726
Single Precision Score
1716
Half Precision Score
7672
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 01:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2923
543.6 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
99% |
6828
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9383
152.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6272
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5027
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
23840
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2792
221.4 IPS |
|
|
Object Detection (HP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (Q)
|
86% |
7337
589.7 IPS |
|
|
Face Detection (SP)
|
100% |
4650
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1660
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
10722
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8792
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2641
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6994
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16210
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13162
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27282
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2447
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2235
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5969
221.0 IPS |
|
|
Text Classification (SP)
|
100% |
1950
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3028
60.9 IPS |
