Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
27205
Single Precision Score
40862
Half Precision Score
20792
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | November 07 2025 06:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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 | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10161
1.89 KIPS |
|
|
Image Classification (HP)
|
99% |
15261
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
9073
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20640
334.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27438
444.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
18370
298.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
149580
174.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
359944
420.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
133114
156.0 IPS |
|
|
Object Detection (SP)
|
100% |
13470
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
20754
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
11482
924.3 IPS |
|
|
Face Detection (SP)
|
100% |
36257
430.8 IPS |
|
|
Face Detection (HP)
|
100% |
53126
631.3 IPS |
|
|
Face Detection (Q)
|
97% |
30701
366.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
65845
507.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112802
869.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
51692
412.8 IPS |
|
|
Style Transfer (SP)
|
100% |
264501
340.0 IPS |
|
|
Style Transfer (HP)
|
100% |
585005
752.0 IPS |
|
|
Style Transfer (Q)
|
98% |
233344
300.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45198
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54957
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32600
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2037
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5744
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5578
96.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2411
45.2 IPS |
