Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
9215
Single Precision Score
9277
Half Precision Score
20468
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5119
951.9 IPS |
|
|
Image Classification (HP)
|
100% |
5173
962.0 IPS |
|
|
Image Classification (Q)
|
100% |
10930
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5055
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5163
83.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10954
177.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16324
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16357
19.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
64726
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
5760
456.9 IPS |
|
|
Object Detection (HP)
|
100% |
5809
460.8 IPS |
|
|
Object Detection (Q)
|
88% |
12893
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
14704
174.7 IPS |
|
|
Face Detection (HP)
|
100% |
15078
179.2 IPS |
|
|
Face Detection (Q)
|
100% |
34665
411.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17069
131.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
16510
127.2 IPS |
|
|
Depth Estimation (Q)
|
80% |
42407
336.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41316
53.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42454
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
151116
194.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8236
304.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8332
307.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23844
883.0 IPS |
|
|
Text Classification (SP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
92% |
4468
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5452
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5335
91.9 IPS |
|
|
Machine Translation (Q)
|
85% |
5460
95.5 IPS |
