Gigabyte Technology Co., Ltd. X570 AORUS XTREME
Geekbench AI Score
6755
Single Precision Score
6649
Half Precision Score
8923
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceDok |
| Upload Date | June 28 2025 07:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS XTREME |
| Power Plan | High performance |
| 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% |
3803
707.3 IPS |
|
|
Image Classification (HP)
|
100% |
3524
655.3 IPS |
|
|
Image Classification (Q)
|
100% |
6045
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5664
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5386
87.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9794
159.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10940
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11231
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
24367
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4246
336.8 IPS |
|
|
Object Detection (HP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (Q)
|
87% |
6909
554.1 IPS |
|
|
Face Detection (SP)
|
100% |
9818
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
9597
114.0 IPS |
|
|
Face Detection (Q)
|
97% |
22161
264.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11388
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11547
89.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
21775
171.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31983
41.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32248
41.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69878
90.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6403
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6289
232.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12304
455.8 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2748
3.67 KIPS |
|
|
Text Classification (Q)
|
91% |
245
328.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3161
54.5 IPS |
