AZW SER8
Geekbench AI Score
6445
Single Precision Score
6482
Half Precision Score
18259
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | sfm408 |
| Upload Date | April 13 2025 08:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| 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% |
4057
754.5 IPS |
|
|
Image Classification (HP)
|
100% |
4168
775.2 IPS |
|
|
Image Classification (Q)
|
100% |
11936
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4777
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4751
77.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12844
208.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7957
9.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
7987
9.32 IPS |
|
|
Pose Estimation (Q)
|
98% |
31797
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3647
289.3 IPS |
|
|
Object Detection (HP)
|
100% |
3642
288.9 IPS |
|
|
Object Detection (Q)
|
88% |
12064
967.1 IPS |
|
|
Face Detection (SP)
|
100% |
8647
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
8659
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
29215
347.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10013
77.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10113
77.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
31092
242.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21330
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21755
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83521
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4738
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4673
172.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16352
605.6 IPS |
|
|
Text Classification (SP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
92% |
6232
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6338
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6399
110.2 IPS |
|
|
Machine Translation (Q)
|
100% |
9060
156.1 IPS |
