Gigabyte Technology Co., Ltd. X670 GAMING X AX V2
Geekbench AI Score
8411
Single Precision Score
8385
Half Precision Score
19790
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4829
898.0 IPS |
|
|
Image Classification (HP)
|
100% |
4872
906.0 IPS |
|
|
Image Classification (Q)
|
100% |
10595
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6161
99.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6033
97.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15308
248.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13574
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13319
15.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
52822
61.8 IPS |
|
|
Object Detection (SP)
|
100% |
5399
428.2 IPS |
|
|
Object Detection (HP)
|
100% |
5134
407.2 IPS |
|
|
Object Detection (Q)
|
88% |
12104
970.3 IPS |
|
|
Face Detection (SP)
|
100% |
11665
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
11725
139.3 IPS |
|
|
Face Detection (Q)
|
100% |
33204
394.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13836
106.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13866
106.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
37089
288.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35258
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35482
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
127304
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7377
272.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7388
272.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22288
825.4 IPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4457
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5315
91.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5708
98.3 IPS |
