Gigabyte Technology Co., Ltd. X870E AORUS PRO
Geekbench AI Score
7363
Single Precision Score
5584
Half Precision Score
5414
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | SimonSu63 |
| Upload Date | December 03 2025 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
3106
577.7 IPS |
|
|
Image Classification (HP)
|
100% |
2712
504.3 IPS |
|
|
Image Classification (Q)
|
99% |
2651
494.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5263
85.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4346
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25121
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15350
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
22323
26.2 IPS |
|
|
Object Detection (SP)
|
100% |
3594
285.1 IPS |
|
|
Object Detection (HP)
|
100% |
3264
258.9 IPS |
|
|
Object Detection (Q)
|
83% |
3073
248.3 IPS |
|
|
Face Detection (SP)
|
100% |
8349
99.2 IPS |
|
|
Face Detection (HP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (Q)
|
97% |
7078
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16120
124.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11551
89.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12492
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45543
58.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30344
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39194
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10045
370.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7544
278.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6857
253.9 IPS |
|
|
Text Classification (SP)
|
100% |
1715
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
946
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3096
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1218
22.8 IPS |
