Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
13887
Single Precision Score
21811
Half Precision Score
23700
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 12:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A750 Graphics (dGPU) |
| 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% |
6009
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8886
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
9362
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15215
246.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19425
314.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21652
351.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
65734
76.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
199382
232.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
272459
319.0 IPS |
|
|
Object Detection (SP)
|
100% |
5638
447.2 IPS |
|
|
Object Detection (HP)
|
100% |
10412
825.9 IPS |
|
|
Object Detection (Q)
|
88% |
11501
921.6 IPS |
|
|
Face Detection (SP)
|
100% |
26857
319.1 IPS |
|
|
Face Detection (HP)
|
100% |
32590
387.2 IPS |
|
|
Face Detection (Q)
|
100% |
38678
459.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25481
196.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52254
402.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
57468
446.7 IPS |
|
|
Style Transfer (SP)
|
100% |
178443
229.4 IPS |
|
|
Style Transfer (HP)
|
100% |
310733
399.5 IPS |
|
|
Style Transfer (Q)
|
98% |
379157
488.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17836
658.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27088
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27263
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1392
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2753
47.4 IPS |
