Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE
Geekbench AI Score
7763
Single Precision Score
7733
Half Precision Score
19079
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 02:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX ICE |
| 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% |
4613
858.0 IPS |
|
|
Image Classification (HP)
|
100% |
4473
831.8 IPS |
|
|
Image Classification (Q)
|
100% |
10139
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5340
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15488
251.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11816
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11830
13.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
46416
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
4897
388.4 IPS |
|
|
Object Detection (HP)
|
100% |
4695
372.4 IPS |
|
|
Object Detection (Q)
|
88% |
12626
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
11934
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
12283
145.9 IPS |
|
|
Face Detection (Q)
|
100% |
32776
389.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11962
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12142
93.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34586
269.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30965
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30305
39.0 IPS |
|
|
Style Transfer (Q)
|
98% |
111180
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6579
242.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6632
244.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19455
720.5 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (Q)
|
92% |
4055
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5508
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5552
95.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6986
120.3 IPS |
