Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
12260
Single Precision Score
21532
Half Precision Score
8476
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 10:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| 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% |
5441
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
9658
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
4185
780.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8573
139.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12410
201.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6961
113.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
54440
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154433
180.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
45714
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6160
488.6 IPS |
|
|
Object Detection (HP)
|
100% |
11231
890.9 IPS |
|
|
Object Detection (Q)
|
84% |
4776
385.2 IPS |
|
|
Face Detection (SP)
|
100% |
14456
171.8 IPS |
|
|
Face Detection (HP)
|
100% |
24264
288.3 IPS |
|
|
Face Detection (Q)
|
97% |
11530
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29455
226.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
57605
443.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20208
161.4 IPS |
|
|
Style Transfer (SP)
|
100% |
97030
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234594
301.6 IPS |
|
|
Style Transfer (Q)
|
98% |
78902
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17896
660.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30183
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10669
395.0 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3124
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1139
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3322
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1348
25.3 IPS |
