AZW SER8
Geekbench AI Score
3460
Single Precision Score
926
Half Precision Score
8369
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 13 2025 08:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.82 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1627
302.6 IPS |
|
|
Image Classification (HP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (Q)
|
97% |
8124
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
3309
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4309
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
23194
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
86% |
7859
631.6 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
97% |
18513
220.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8856
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1409
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17597
140.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18526
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15869
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29960
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2650
97.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4051
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2151
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4049
81.4 IPS |
