Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
27860
Single Precision Score
30583
Half Precision Score
20734
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | iddv |
| Upload Date | November 10 2024 10:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11330
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
11074
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
8988
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17222
279.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14780
239.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15073
245.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
202588
236.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
299115
349.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
163989
192.1 IPS |
|
|
Object Detection (SP)
|
100% |
11727
930.2 IPS |
|
|
Object Detection (HP)
|
100% |
11877
942.1 IPS |
|
|
Object Detection (Q)
|
89% |
9412
753.7 IPS |
|
|
Face Detection (SP)
|
100% |
33321
395.9 IPS |
|
|
Face Detection (HP)
|
100% |
36386
432.3 IPS |
|
|
Face Detection (Q)
|
97% |
25238
301.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
69142
532.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74945
577.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
50797
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
350410
450.5 IPS |
|
|
Style Transfer (HP)
|
100% |
474198
609.6 IPS |
|
|
Style Transfer (Q)
|
98% |
274808
354.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40854
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48163
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29710
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2690
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2495
55.7 IPS |
