Gigabyte Technology Co., Ltd. X570S AORUS MASTER
Geekbench AI Score
32293
Single Precision Score
37064
Half Precision Score
24074
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12949
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
13654
2.54 KIPS |
|
|
Image Classification (Q)
|
99% |
10663
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20890
338.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18601
301.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18633
303.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
264096
308.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
416438
485.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
240209
281.4 IPS |
|
|
Object Detection (SP)
|
100% |
16629
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
16858
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
13298
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
42132
500.6 IPS |
|
|
Face Detection (HP)
|
100% |
46748
555.5 IPS |
|
|
Face Detection (Q)
|
97% |
37072
442.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
73804
568.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
92478
712.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
54891
439.9 IPS |
|
|
Style Transfer (SP)
|
100% |
439844
565.4 IPS |
|
|
Style Transfer (HP)
|
100% |
631381
811.6 IPS |
|
|
Style Transfer (Q)
|
98% |
379801
489.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47822
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60244
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33285
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1893
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4594
79.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2116
39.7 IPS |
