Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
25601
Single Precision Score
37698
Half Precision Score
15539
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Keliort |
| Upload Date | February 01 2025 10:35 AM |
| Views | 16 |
| Notes | GPU stock |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9645
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
13576
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
6641
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17284
280.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23852
386.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12513
203.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
177450
207.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
363304
423.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
133172
156.0 IPS |
|
|
Object Detection (SP)
|
100% |
12390
982.8 IPS |
|
|
Object Detection (HP)
|
100% |
17037
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
8423
677.6 IPS |
|
|
Face Detection (SP)
|
100% |
35264
419.0 IPS |
|
|
Face Detection (HP)
|
100% |
48265
573.5 IPS |
|
|
Face Detection (Q)
|
97% |
22885
272.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64071
493.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106441
820.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38279
306.6 IPS |
|
|
Style Transfer (SP)
|
100% |
281633
362.0 IPS |
|
|
Style Transfer (HP)
|
100% |
630853
811.0 IPS |
|
|
Style Transfer (Q)
|
98% |
198880
256.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40186
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56240
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22265
824.4 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3625
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4480
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1579
29.6 IPS |
