Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
7929
Single Precision Score
7887
Half Precision Score
19875
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | linuxferret |
| Upload Date | March 13 2026 07:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4674
869.2 IPS |
|
|
Image Classification (HP)
|
100% |
4690
872.1 IPS |
|
|
Image Classification (Q)
|
100% |
12106
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6063
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5875
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16070
260.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11491
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11581
13.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
45620
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4795
380.4 IPS |
|
|
Object Detection (HP)
|
100% |
4886
387.6 IPS |
|
|
Object Detection (Q)
|
88% |
12951
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
12280
145.9 IPS |
|
|
Face Detection (HP)
|
100% |
12263
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
33305
395.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12612
97.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12537
96.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36782
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30076
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30369
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
112292
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6643
245.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6640
245.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20210
748.5 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (Q)
|
92% |
4349
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5827
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6924
119.3 IPS |
