SAPPHIRE SAPPHIRE NITRO B650M WIFI
Geekbench AI Score
19858
Single Precision Score
28616
Half Precision Score
17700
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 05:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | SAPPHIRE SAPPHIRE NITRO B650M WIFI |
| Motherboard | SAPPHIRE SAPPHIRE NITRO B650M WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8329
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
10026
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
7946
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8248
133.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9589
155.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11883
193.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
133097
155.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
407992
476.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
119002
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
8140
645.7 IPS |
|
|
Object Detection (HP)
|
99% |
11443
907.6 IPS |
|
|
Object Detection (Q)
|
87% |
8315
667.8 IPS |
|
|
Face Detection (SP)
|
100% |
25324
300.9 IPS |
|
|
Face Detection (HP)
|
100% |
32706
388.6 IPS |
|
|
Face Detection (Q)
|
97% |
22385
266.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
67465
519.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84094
647.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
55849
447.9 IPS |
|
|
Style Transfer (SP)
|
100% |
193897
249.3 IPS |
|
|
Style Transfer (HP)
|
100% |
398497
512.3 IPS |
|
|
Style Transfer (Q)
|
98% |
186648
240.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32473
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48780
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27064
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2223
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2302
43.2 IPS |
