Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX
Geekbench AI Score
12699
Single Precision Score
12602
Half Precision Score
30907
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 06:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-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 | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7834
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
7513
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
19281
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8600
139.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8418
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23713
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15799
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15848
18.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
62583
73.3 IPS |
|
|
Object Detection (SP)
|
100% |
7808
619.3 IPS |
|
|
Object Detection (HP)
|
100% |
7651
606.9 IPS |
|
|
Object Detection (Q)
|
88% |
20613
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
24368
289.5 IPS |
|
|
Face Detection (HP)
|
100% |
23783
282.6 IPS |
|
|
Face Detection (Q)
|
100% |
50957
605.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19764
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19856
153.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
53770
418.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44275
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45184
58.1 IPS |
|
|
Style Transfer (Q)
|
98% |
160184
206.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9753
360.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9706
358.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28333
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
5950
7.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6118
8.17 KIPS |
|
|
Text Classification (Q)
|
92% |
8502
11.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
10606
182.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10401
179.2 IPS |
|
|
Machine Translation (Q)
|
100% |
12756
219.7 IPS |
