Gigabyte Technology Co., Ltd. B650I AORUS ULTRA
Geekbench AI Score
29987
Single Precision Score
48089
Half Precision Score
23475
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 12 2025 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. B650I AORUS ULTRA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12681
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
17865
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11239
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18346
297.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23860
386.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17103
278.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
177595
207.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
621759
725.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
160300
187.8 IPS |
|
|
Object Detection (SP)
|
100% |
14924
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
21894
1.74 KIPS |
|
|
Object Detection (Q)
|
86% |
12655
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
41829
497.0 IPS |
|
|
Face Detection (HP)
|
100% |
54578
648.5 IPS |
|
|
Face Detection (Q)
|
97% |
35436
422.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85059
655.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
138376
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63922
510.4 IPS |
|
|
Style Transfer (SP)
|
100% |
311762
400.8 IPS |
|
|
Style Transfer (HP)
|
100% |
882742
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
262868
339.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45534
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72686
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35682
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2361
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5094
87.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2599
48.8 IPS |
