TOPC PHX ITX
Geekbench AI Score
7564
Single Precision Score
11695
Half Precision Score
5555
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | wysaid |
| Upload Date | June 04 2025 05:43 PM |
| Views | 8 |
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% |
2811
522.8 IPS |
|
|
Image Classification (HP)
|
100% |
4436
824.9 IPS |
|
|
Image Classification (Q)
|
100% |
2514
467.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4689
76.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2841
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36004
42.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
61809
72.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25840
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
3745
297.0 IPS |
|
|
Object Detection (Q)
|
87% |
2359
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
10539
125.2 IPS |
|
|
Face Detection (Q)
|
97% |
4557
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17430
134.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28787
221.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13164
105.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65285
83.9 IPS |
|
|
Style Transfer (HP)
|
100% |
114940
147.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41593
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13063
482.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23189
856.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8463
313.4 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1769
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3299
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1722
32.3 IPS |
