Gigabyte Technology Co., Ltd. X870E AORUS PRO
Geekbench AI Score
2976
Single Precision Score
1517
Half Precision Score
7490
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | SimonSu63 |
| Upload Date | November 24 2025 02:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1871
347.9 IPS |
|
|
Image Classification (HP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (Q)
|
99% |
5601
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8483
137.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
20568
24.1 IPS |
|
|
Object Detection (SP)
|
100% |
2739
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
666
52.9 IPS |
|
|
Object Detection (Q)
|
86% |
5531
444.5 IPS |
|
|
Face Detection (SP)
|
100% |
4737
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
8270
98.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4534
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2414
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15750
125.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11826
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8338
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22576
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4811
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
995
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1720
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4229
85.0 IPS |
