Gigabyte Technology Co., Ltd. X570 AORUS MASTER
Geekbench AI Score
35390
Single Precision Score
41960
Half Precision Score
28821
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 11:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS MASTER |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14552
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
15359
2.86 KIPS |
|
|
Image Classification (Q)
|
99% |
12825
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24931
404.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22492
364.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22577
367.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
292817
341.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
511732
597.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
257597
301.7 IPS |
|
|
Object Detection (SP)
|
100% |
17380
1.38 KIPS |
|
|
Object Detection (HP)
|
99% |
19217
1.52 KIPS |
|
|
Object Detection (Q)
|
87% |
15121
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
50163
596.0 IPS |
|
|
Face Detection (HP)
|
100% |
56535
671.8 IPS |
|
|
Face Detection (Q)
|
97% |
43995
524.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
78262
603.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101303
780.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
68819
551.5 IPS |
|
|
Style Transfer (SP)
|
100% |
468499
602.3 IPS |
|
|
Style Transfer (HP)
|
100% |
697312
896.4 IPS |
|
|
Style Transfer (Q)
|
98% |
395594
510.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48481
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64231
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39797
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2472
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5248
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5434
93.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2976
55.8 IPS |
