Gigabyte Technology Co., Ltd. X870 GAMING WIFI6
Geekbench AI Score
13487
Single Precision Score
13414
Half Precision Score
30618
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | IronLad84 |
| Upload Date | February 25 2025 09:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| 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% |
7781
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7421
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15423
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9225
149.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9226
149.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22324
361.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24684
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
24957
29.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
98722
115.6 IPS |
|
|
Object Detection (SP)
|
100% |
8663
687.1 IPS |
|
|
Object Detection (HP)
|
100% |
8717
691.4 IPS |
|
|
Object Detection (Q)
|
88% |
18069
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
18328
217.8 IPS |
|
|
Face Detection (HP)
|
100% |
18262
217.0 IPS |
|
|
Face Detection (Q)
|
100% |
48658
578.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22575
173.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22033
169.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
60890
473.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65106
83.7 IPS |
|
|
Style Transfer (HP)
|
100% |
65162
83.8 IPS |
|
|
Style Transfer (Q)
|
98% |
233338
300.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13153
485.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13082
483.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36332
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4986
6.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6526
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
7392
127.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7407
127.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7194
123.9 IPS |
