Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
14840
Single Precision Score
24856
Half Precision Score
27242
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | March 01 2025 05:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A580 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 GAMING WIFI6 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6481
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
9663
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
10554
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15351
248.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21778
353.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23350
378.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
66609
77.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
223545
260.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
352720
413.0 IPS |
|
|
Object Detection (SP)
|
100% |
6102
484.0 IPS |
|
|
Object Detection (HP)
|
100% |
11943
947.3 IPS |
|
|
Object Detection (Q)
|
88% |
12986
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
28378
337.2 IPS |
|
|
Face Detection (HP)
|
100% |
38650
459.2 IPS |
|
|
Face Detection (Q)
|
100% |
43601
518.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27672
213.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
61813
476.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
68478
532.3 IPS |
|
|
Style Transfer (SP)
|
100% |
179410
230.6 IPS |
|
|
Style Transfer (HP)
|
100% |
344339
442.7 IPS |
|
|
Style Transfer (Q)
|
98% |
419922
541.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19600
723.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31243
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31801
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1953
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1572
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3182
54.8 IPS |
