Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
41908
Single Precision Score
57003
Half Precision Score
31296
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 06:26 PM |
| Views | 8 |
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% |
14921
2.77 KIPS |
|
|
Image Classification (HP)
|
99% |
19507
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
12518
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25778
417.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
32410
525.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24541
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
354645
413.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
602085
702.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
304779
356.9 IPS |
|
|
Object Detection (SP)
|
100% |
21293
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
27570
2.19 KIPS |
|
|
Object Detection (Q)
|
89% |
17862
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
59813
710.7 IPS |
|
|
Face Detection (HP)
|
100% |
73357
871.6 IPS |
|
|
Face Detection (Q)
|
97% |
49127
585.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
103850
800.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
172808
1.33 KIPS |
|
|
Depth Estimation (Q)
|
75% |
74552
601.8 IPS |
|
|
Style Transfer (SP)
|
100% |
644575
828.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1207955
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
547110
705.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65313
2.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85584
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47980
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3802
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5704
98.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2395
53.4 IPS |
