Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
42004
Single Precision Score
56936
Half Precision Score
31315
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 07:48 PM |
| Views | 116 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14982
2.79 KIPS |
|
|
Image Classification (HP)
|
99% |
19513
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
12556
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25865
419.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32649
529.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24413
397.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
355387
414.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
598871
698.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
302108
353.8 IPS |
|
|
Object Detection (SP)
|
100% |
21429
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
27951
2.22 KIPS |
|
|
Object Detection (Q)
|
89% |
18046
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
60219
715.5 IPS |
|
|
Face Detection (HP)
|
100% |
73735
876.1 IPS |
|
|
Face Detection (Q)
|
97% |
49438
589.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
103578
798.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
171009
1.32 KIPS |
|
|
Depth Estimation (Q)
|
75% |
74810
603.9 IPS |
|
|
Style Transfer (SP)
|
100% |
646299
830.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1198796
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
548736
707.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65270
2.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84865
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48113
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4596
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2342
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5797
99.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5694
98.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2373
52.9 IPS |
