Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE
Geekbench AI Score
12062
Single Precision Score
11936
Half Precision Score
28416
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | redsurver |
| Upload Date | February 25 2025 01:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5927
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6030
1.12 KIPS |
|
|
Image Classification (Q)
|
100% |
13413
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8002
129.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19899
322.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25564
29.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25659
29.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
108344
126.8 IPS |
|
|
Object Detection (SP)
|
100% |
6888
546.3 IPS |
|
|
Object Detection (HP)
|
100% |
6634
526.2 IPS |
|
|
Object Detection (Q)
|
88% |
16019
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
14541
172.8 IPS |
|
|
Face Detection (HP)
|
100% |
14754
175.3 IPS |
|
|
Face Detection (Q)
|
100% |
41986
498.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20303
156.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20075
154.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
55920
435.1 IPS |
|
|
Style Transfer (SP)
|
100% |
68030
87.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66037
84.9 IPS |
|
|
Style Transfer (Q)
|
98% |
246947
318.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13344
492.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12771
471.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34488
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4616
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4641
6.19 KIPS |
|
|
Text Classification (Q)
|
92% |
5939
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6314
108.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6178
106.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6241
107.5 IPS |
