BIOSTAR Group B850MT2-E DJ
Geekbench AI Score
24599
Single Precision Score
37371
Half Precision Score
21358
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 21 2025 07:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B850MT2-E DJ |
| Motherboard | BIOSTAR Group B850MT2-E DJ |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11813
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
14551
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
11461
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11714
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14413
233.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16108
261.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
133233
155.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
430518
502.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
117390
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
10432
827.5 IPS |
|
|
Object Detection (HP)
|
99% |
15679
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
9829
789.4 IPS |
|
|
Face Detection (SP)
|
100% |
30844
366.5 IPS |
|
|
Face Detection (HP)
|
100% |
44148
524.6 IPS |
|
|
Face Detection (Q)
|
97% |
27337
326.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65339
503.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93232
718.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
54541
437.4 IPS |
|
|
Style Transfer (SP)
|
100% |
239628
308.0 IPS |
|
|
Style Transfer (HP)
|
100% |
462754
594.9 IPS |
|
|
Style Transfer (Q)
|
98% |
206446
266.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37607
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69286
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31629
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4464
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2902
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5938
102.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6372
109.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3282
61.6 IPS |
