AB350 Pro4
Geekbench AI Score
16554
Single Precision Score
20732
Half Precision Score
13148
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Spiike |
| Upload Date | April 16 2025 08:08 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% |
7865
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8949
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
6738
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10325
167.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9155
148.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9213
149.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
96399
112.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
179362
209.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85042
99.6 IPS |
|
|
Object Detection (SP)
|
100% |
6639
526.6 IPS |
|
|
Object Detection (HP)
|
99% |
9924
787.2 IPS |
|
|
Object Detection (Q)
|
87% |
6084
488.6 IPS |
|
|
Face Detection (SP)
|
100% |
21396
254.2 IPS |
|
|
Face Detection (HP)
|
100% |
27288
324.2 IPS |
|
|
Face Detection (Q)
|
97% |
18340
218.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46644
359.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
57455
442.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37781
303.0 IPS |
|
|
Style Transfer (SP)
|
100% |
163878
210.7 IPS |
|
|
Style Transfer (HP)
|
100% |
255041
327.9 IPS |
|
|
Style Transfer (Q)
|
98% |
141617
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26445
976.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35899
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20212
748.4 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1422
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1705
32.0 IPS |
