TOPC PHX ITX
Geekbench AI Score
6912
Single Precision Score
11024
Half Precision Score
5102
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | wysaid |
| Upload Date | May 24 2025 06:22 PM |
| Views | 4 |
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 Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2585
480.7 IPS |
|
|
Image Classification (HP)
|
100% |
4152
772.2 IPS |
|
|
Image Classification (Q)
|
100% |
2428
451.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4438
71.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2646
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35093
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70054
81.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
24810
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (Q)
|
87% |
2185
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
4796
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
9431
112.1 IPS |
|
|
Face Detection (Q)
|
97% |
4036
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15670
120.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
26311
202.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11677
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59158
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
107966
138.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38721
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12093
446.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20899
771.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7564
280.1 IPS |
|
|
Text Classification (SP)
|
100% |
2170
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3043
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1551
29.1 IPS |
