Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
22222
Single Precision Score
33737
Half Precision Score
13468
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | xust- |
| Upload Date | August 17 2024 04:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8831
1.64 KIPS |
|
|
Image Classification (HP)
|
99% |
12194
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
5789
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14791
239.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20411
330.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11085
180.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
139311
162.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
385585
449.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
108663
127.2 IPS |
|
|
Object Detection (SP)
|
100% |
11028
874.7 IPS |
|
|
Object Detection (HP)
|
100% |
15741
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
7537
603.4 IPS |
|
|
Face Detection (SP)
|
100% |
27562
327.5 IPS |
|
|
Face Detection (HP)
|
100% |
39388
468.0 IPS |
|
|
Face Detection (Q)
|
97% |
18580
221.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
55317
426.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97570
751.7 IPS |
|
|
Depth Estimation (Q)
|
69% |
31656
268.2 IPS |
|
|
Style Transfer (SP)
|
100% |
251933
323.9 IPS |
|
|
Style Transfer (HP)
|
100% |
579151
744.5 IPS |
|
|
Style Transfer (Q)
|
98% |
181049
233.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35445
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43397
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19658
727.9 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
99% |
3323
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3984
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1282
28.6 IPS |
