Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
11937
Single Precision Score
12495
Half Precision Score
9089
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| 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 | High performance |
| 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% |
5171
961.6 IPS |
|
|
Image Classification (HP)
|
100% |
5237
973.9 IPS |
|
|
Image Classification (Q)
|
99% |
4387
818.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7810
126.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13203
214.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
6973
113.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
73105
85.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
66332
77.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59663
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
6919
548.8 IPS |
|
|
Object Detection (HP)
|
99% |
7073
562.6 IPS |
|
|
Object Detection (Q)
|
85% |
5737
461.6 IPS |
|
|
Face Detection (SP)
|
100% |
18289
217.3 IPS |
|
|
Face Detection (HP)
|
100% |
18338
217.9 IPS |
|
|
Face Detection (Q)
|
97% |
14294
170.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28456
219.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
28296
218.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22471
179.9 IPS |
|
|
Style Transfer (SP)
|
100% |
162595
209.0 IPS |
|
|
Style Transfer (HP)
|
100% |
134150
172.5 IPS |
|
|
Style Transfer (Q)
|
98% |
120742
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16810
620.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23390
863.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11862
439.2 IPS |
|
|
Text Classification (SP)
|
86% |
815
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
84% |
630
854.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1268
23.8 IPS |
