TOPC PHX ITX
Geekbench AI Score
8170
Single Precision Score
12094
Half Precision Score
6005
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 02 2025 07:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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% |
3275
609.1 IPS |
|
|
Image Classification (HP)
|
100% |
4856
903.1 IPS |
|
|
Image Classification (Q)
|
100% |
2920
543.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4171
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4767
77.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3271
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
42211
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
77800
90.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30529
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
3899
309.2 IPS |
|
|
Object Detection (Q)
|
87% |
2461
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6119
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
11440
135.9 IPS |
|
|
Face Detection (Q)
|
97% |
5135
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17955
138.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27609
212.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13553
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
70305
90.4 IPS |
|
|
Style Transfer (HP)
|
100% |
111738
143.6 IPS |
|
|
Style Transfer (Q)
|
98% |
46848
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14137
522.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22879
844.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9224
341.6 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3222
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1704
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1660
31.1 IPS |
