Gigabyte Technology Co., Ltd. X570 AORUS XTREME
Geekbench AI Score
4951
Single Precision Score
5229
Half Precision Score
7592
Quantized Score
Geekbench AI 1.0.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | August 21 2024 10:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3477
646.6 IPS |
|
|
Image Classification (HP)
|
100% |
3768
700.7 IPS |
|
|
Image Classification (Q)
|
100% |
5538
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6374
103.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9608
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9886
11.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
22835
26.8 IPS |
|
|
Object Detection (SP)
|
100% |
3990
316.5 IPS |
|
|
Object Detection (HP)
|
100% |
3822
303.2 IPS |
|
|
Object Detection (Q)
|
87% |
6590
528.5 IPS |
|
|
Face Detection (SP)
|
100% |
8833
105.0 IPS |
|
|
Face Detection (HP)
|
100% |
9185
109.1 IPS |
|
|
Face Detection (Q)
|
97% |
20033
238.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10083
77.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
9878
76.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
20268
160.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28010
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29524
38.0 IPS |
|
|
Style Transfer (Q)
|
98% |
65387
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5724
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11611
430.1 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
91% |
253
340.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (Q)
|
90% |
1537
26.7 IPS |
