Gigabyte Technology Co., Ltd. B650I AORUS ULTRA
Geekbench AI Score
9165
Single Precision Score
9127
Half Precision Score
22117
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | SidAMDX3D |
| Upload Date | August 01 2025 04:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| 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 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5119
951.9 IPS |
|
|
Image Classification (HP)
|
100% |
5192
965.5 IPS |
|
|
Image Classification (Q)
|
100% |
12756
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6814
110.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6804
110.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18897
306.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14775
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14879
17.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
58563
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
5561
441.1 IPS |
|
|
Object Detection (HP)
|
100% |
5492
435.6 IPS |
|
|
Object Detection (Q)
|
88% |
14254
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
13970
166.0 IPS |
|
|
Face Detection (HP)
|
100% |
13997
166.3 IPS |
|
|
Face Detection (Q)
|
100% |
37649
447.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15710
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15389
118.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
42615
331.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38622
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38281
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
138722
178.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7681
283.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7853
290.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23121
856.3 IPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
92% |
4249
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6148
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5792
99.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6367
109.7 IPS |
