Gigabyte Technology Co., Ltd. B650M AORUS PRO AX
Geekbench AI Score
8609
Single Precision Score
8597
Half Precision Score
22380
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MasterofFuppets |
| Upload Date | May 09 2025 04:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS PRO AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5544
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5535
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
14224
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6091
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6082
98.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15660
253.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9872
11.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
39087
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (HP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (Q)
|
88% |
14885
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
14009
166.5 IPS |
|
|
Face Detection (HP)
|
100% |
14011
166.5 IPS |
|
|
Face Detection (Q)
|
100% |
36664
435.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12867
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12868
99.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
41025
319.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27832
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27835
35.8 IPS |
|
|
Style Transfer (Q)
|
98% |
102542
132.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6230
230.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6219
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19904
737.1 IPS |
|
|
Text Classification (SP)
|
100% |
4880
6.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4803
6.41 KIPS |
|
|
Text Classification (Q)
|
92% |
6928
9.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
8513
146.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8537
147.1 IPS |
|
|
Machine Translation (Q)
|
100% |
11440
197.1 IPS |
