AB350 Pro4
Geekbench AI Score
16872
Single Precision Score
21399
Half Precision Score
13257
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 13 2025 04:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | AB350 Pro4 |
| Motherboard | ASRock AB350 Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7752
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
9659
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
6837
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10535
170.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9318
151.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9201
149.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
97898
114.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
184912
215.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
85786
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
6588
522.6 IPS |
|
|
Object Detection (HP)
|
99% |
9962
790.2 IPS |
|
|
Object Detection (Q)
|
87% |
6095
489.5 IPS |
|
|
Face Detection (SP)
|
100% |
21593
256.6 IPS |
|
|
Face Detection (HP)
|
100% |
27631
328.3 IPS |
|
|
Face Detection (Q)
|
97% |
18534
221.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47167
363.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58370
449.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
38086
305.4 IPS |
|
|
Style Transfer (SP)
|
100% |
166470
214.0 IPS |
|
|
Style Transfer (HP)
|
100% |
255550
328.5 IPS |
|
|
Style Transfer (Q)
|
98% |
143188
184.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27034
998.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35658
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20121
745.1 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1709
32.1 IPS |
