Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX
Geekbench AI Score
13758
Single Precision Score
13759
Half Precision Score
30653
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 08:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | test |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
8757
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
8687
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
18541
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8636
140.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8567
138.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18620
301.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17372
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17445
20.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
68490
80.2 IPS |
|
|
Object Detection (SP)
|
100% |
8905
706.3 IPS |
|
|
Object Detection (HP)
|
100% |
8922
707.7 IPS |
|
|
Object Detection (Q)
|
88% |
20440
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
26844
319.0 IPS |
|
|
Face Detection (HP)
|
100% |
26651
316.7 IPS |
|
|
Face Detection (Q)
|
100% |
49493
588.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23573
181.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23705
182.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
60388
469.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49507
63.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49542
63.7 IPS |
|
|
Style Transfer (Q)
|
98% |
170994
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10952
404.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10941
404.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31686
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
6618
8.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6612
8.83 KIPS |
|
|
Text Classification (Q)
|
92% |
8865
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
9149
157.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9271
159.7 IPS |
|
|
Machine Translation (Q)
|
100% |
10557
181.8 IPS |
