SU AHB19D
Geekbench AI Score
3172
Single Precision Score
1641
Half Precision Score
5245
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SU AHB19D |
| Motherboard | SU AHB19D |
| 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 | 2.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1676
311.6 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
4192
781.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
912
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3042
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6401
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5310
6.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
26995
31.6 IPS |
|
|
Object Detection (SP)
|
100% |
1922
152.5 IPS |
|
|
Object Detection (HP)
|
100% |
700
55.5 IPS |
|
|
Object Detection (Q)
|
88% |
1929
154.7 IPS |
|
|
Face Detection (SP)
|
100% |
2879
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
5397
64.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7096
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2355
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
9298
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18064
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16018
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30130
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2506
92.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2311
85.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4025
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
1553
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
747
997.1 IPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2590
57.8 IPS |
