Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7
Geekbench AI Score
13463
Single Precision Score
13545
Half Precision Score
32648
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | masterclimby |
| Upload Date | September 06 2025 12:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7064
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7382
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
16580
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8510
138.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8457
137.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24477
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29683
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30121
35.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
119072
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
7894
626.1 IPS |
|
|
Object Detection (HP)
|
100% |
8184
649.2 IPS |
|
|
Object Detection (Q)
|
88% |
18903
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
15175
180.3 IPS |
|
|
Face Detection (HP)
|
100% |
16862
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
50698
602.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24746
190.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22216
171.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
64467
501.7 IPS |
|
|
Style Transfer (SP)
|
100% |
76561
98.4 IPS |
|
|
Style Transfer (HP)
|
100% |
75985
97.7 IPS |
|
|
Style Transfer (Q)
|
98% |
270380
348.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13894
513.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13692
505.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37710
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4653
6.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4559
6.08 KIPS |
|
|
Text Classification (Q)
|
92% |
5363
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
7477
128.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7604
131.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8429
145.2 IPS |
