Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
6993
Single Precision Score
6979
Half Precision Score
17154
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | liviuttn |
| Upload Date | August 17 2024 06:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 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 | Echilibrat |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4493
835.5 IPS |
|
|
Image Classification (HP)
|
100% |
4526
841.7 IPS |
|
|
Image Classification (Q)
|
100% |
10512
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4075
66.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10423
169.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8080
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
31854
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4364
346.2 IPS |
|
|
Object Detection (HP)
|
100% |
4224
335.0 IPS |
|
|
Object Detection (Q)
|
88% |
11100
889.8 IPS |
|
|
Face Detection (SP)
|
100% |
14461
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
14465
171.9 IPS |
|
|
Face Detection (Q)
|
100% |
30563
363.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11227
86.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
11178
86.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
32000
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22162
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22590
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84246
108.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5180
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5004
184.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14860
550.3 IPS |
|
|
Text Classification (SP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6207
106.9 IPS |
|
|
Machine Translation (Q)
|
85% |
8331
145.6 IPS |
