AZW SER9
Geekbench AI Score
4497
Single Precision Score
4588
Half Precision Score
11041
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | April 13 2025 08:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | AZW SER9 |
| Motherboard | AZW SER9 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2606
484.6 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.5 IPS |
|
|
Image Classification (Q)
|
100% |
6875
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3402
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
8454
9.86 IPS |
|
|
Pose Estimation (Q)
|
98% |
24312
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.3 IPS |
|
|
Object Detection (HP)
|
100% |
2602
206.4 IPS |
|
|
Object Detection (Q)
|
88% |
7596
608.9 IPS |
|
|
Face Detection (SP)
|
100% |
7632
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
7611
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
19521
232.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7461
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7441
57.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
21076
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19191
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62184
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3533
130.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11546
427.6 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
4446
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4748
81.8 IPS |
