Gigabyte Technology Co., Ltd. X670E AORUS XTREME
Geekbench AI Score
9806
Single Precision Score
9822
Half Precision Score
22023
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:07 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS XTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5566
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5586
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
11876
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5620
91.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5481
88.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11836
191.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
67502
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
6014
477.0 IPS |
|
|
Object Detection (HP)
|
100% |
5971
473.6 IPS |
|
|
Object Detection (Q)
|
88% |
13669
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
15475
183.9 IPS |
|
|
Face Detection (HP)
|
100% |
15563
184.9 IPS |
|
|
Face Detection (Q)
|
100% |
38758
460.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17145
132.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
17591
135.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
46081
365.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44485
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
44494
57.2 IPS |
|
|
Style Transfer (Q)
|
98% |
161532
208.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8839
326.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8799
324.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26010
963.2 IPS |
|
|
Text Classification (SP)
|
100% |
4130
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (Q)
|
92% |
4710
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5866
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5880
101.3 IPS |
|
|
Machine Translation (Q)
|
85% |
5857
102.4 IPS |
