TOPC PHX ITX
Geekbench AI Score
4369
Single Precision Score
1904
Half Precision Score
7559
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 02 2025 07:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000000955-50_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | TOPC PHX ITX |
| Motherboard | TOPC PHX |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000000955-50_Y |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3816
709.6 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.8 IPS |
|
|
Image Classification (Q)
|
99% |
8682
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3937
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7881
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
27723
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3532
280.1 IPS |
|
|
Object Detection (HP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (Q)
|
86% |
8556
687.6 IPS |
|
|
Face Detection (SP)
|
100% |
6868
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
11688
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10455
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2913
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7550
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18977
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16095
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31176
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2991
110.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2774
102.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3754
139.0 IPS |
|
|
Text Classification (SP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3786
76.1 IPS |
