Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2
Geekbench AI Score
9764
Single Precision Score
9825
Half Precision Score
25422
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Katsumis |
| Upload Date | December 26 2024 01:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX V2 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6592
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6687
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
16129
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6366
103.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6312
102.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15246
247.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12398
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12580
14.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
50136
58.7 IPS |
|
|
Object Detection (SP)
|
100% |
6292
499.1 IPS |
|
|
Object Detection (HP)
|
100% |
6295
499.3 IPS |
|
|
Object Detection (Q)
|
88% |
17131
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
13122
155.9 IPS |
|
|
Face Detection (HP)
|
100% |
13181
156.6 IPS |
|
|
Face Detection (Q)
|
100% |
40798
484.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15182
117.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15245
117.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
46130
358.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34673
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35009
45.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129092
166.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7912
292.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7995
295.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25181
932.5 IPS |
|
|
Text Classification (SP)
|
100% |
5503
7.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
92% |
8761
11.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
8002
137.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8037
138.4 IPS |
|
|
Machine Translation (Q)
|
100% |
9961
171.6 IPS |
