Gigabyte Technology Co., Ltd. X570S UD
Geekbench AI Score
14188
Single Precision Score
24130
Half Precision Score
24929
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 18 2025 04:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S UD |
| Motherboard | Gigabyte Technology Co., Ltd. X570S UD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5709
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8763
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
8737
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18070
292.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27459
445.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
28768
466.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
78789
91.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
231293
269.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
354541
415.1 IPS |
|
|
Object Detection (SP)
|
100% |
5524
438.2 IPS |
|
|
Object Detection (HP)
|
100% |
11004
872.8 IPS |
|
|
Object Detection (Q)
|
88% |
11038
884.6 IPS |
|
|
Face Detection (SP)
|
100% |
25854
307.2 IPS |
|
|
Face Detection (HP)
|
100% |
38246
454.4 IPS |
|
|
Face Detection (Q)
|
100% |
38372
455.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26030
200.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
59117
455.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
59799
464.8 IPS |
|
|
Style Transfer (SP)
|
100% |
201858
259.5 IPS |
|
|
Style Transfer (HP)
|
100% |
366480
471.1 IPS |
|
|
Style Transfer (Q)
|
98% |
452689
583.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17788
656.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26282
970.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26475
980.5 IPS |
|
|
Text Classification (SP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1538
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3289
56.6 IPS |
