Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE
Geekbench AI Score
5128
Single Precision Score
1187
Half Precision Score
7962
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | AndRusha |
| Upload Date | April 04 2025 06:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3188
592.9 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
99% |
7759
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
4342
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9077
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7331
8.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
36259
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3395
269.3 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
88% |
3791
303.9 IPS |
|
|
Face Detection (SP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
6397
76.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10263
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
14181
114.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21787
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17295
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32770
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4344
160.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3501
129.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6390
236.6 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2613
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (Q)
|
60% |
4458
99.4 IPS |
