Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
9938
Single Precision Score
9942
Half Precision Score
25875
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JulioSanchezD |
| Upload Date | January 21 2025 04:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6430
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6055
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15739
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6443
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6718
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15976
259.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13303
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
13504
15.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
53342
62.4 IPS |
|
|
Object Detection (SP)
|
100% |
6051
479.9 IPS |
|
|
Object Detection (HP)
|
100% |
6081
482.4 IPS |
|
|
Object Detection (Q)
|
88% |
17641
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
13923
165.4 IPS |
|
|
Face Detection (HP)
|
100% |
13508
160.5 IPS |
|
|
Face Detection (Q)
|
100% |
42407
503.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15626
120.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15710
121.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
48010
373.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37048
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37564
48.3 IPS |
|
|
Style Transfer (Q)
|
98% |
137615
177.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8283
305.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8318
307.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26366
976.4 IPS |
|
|
Text Classification (SP)
|
100% |
5587
7.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
92% |
8133
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
7560
130.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7455
128.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9464
163.0 IPS |
