Gigabyte Technology Co., Ltd. B850M GAMING X WIFI6E
Geekbench AI Score
23723
Single Precision Score
35766
Half Precision Score
20613
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 04:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850M GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850M GAMING X WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11544
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
15011
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
11520
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10243
166.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12158
197.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12687
206.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
133483
155.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
428637
500.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
118021
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
10336
819.9 IPS |
|
|
Object Detection (HP)
|
99% |
15310
1.21 KIPS |
|
|
Object Detection (Q)
|
87% |
9685
777.8 IPS |
|
|
Face Detection (SP)
|
100% |
29863
354.8 IPS |
|
|
Face Detection (HP)
|
100% |
39569
470.2 IPS |
|
|
Face Detection (Q)
|
97% |
26168
312.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66920
515.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96320
742.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
55754
447.1 IPS |
|
|
Style Transfer (SP)
|
100% |
246169
316.5 IPS |
|
|
Style Transfer (HP)
|
100% |
479637
616.6 IPS |
|
|
Style Transfer (Q)
|
98% |
210440
271.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38471
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72459
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32769
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4102
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4693
6.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2926
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4459
76.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2817
52.8 IPS |
