Gigabyte Technology Co., Ltd. X870E AORUS ELITE X3D ICE
Geekbench AI Score
11757
Single Precision Score
11609
Half Precision Score
28553
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 04:46 PM |
| Views | 2 |
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. X870E AORUS ELITE X3D ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE X3D ICE |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5679
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5599
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
14984
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7893
128.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7169
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21321
345.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26105
30.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26416
30.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
107159
125.5 IPS |
|
|
Object Detection (SP)
|
100% |
7413
588.0 IPS |
|
|
Object Detection (HP)
|
100% |
6486
514.5 IPS |
|
|
Object Detection (Q)
|
88% |
16976
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
14344
170.4 IPS |
|
|
Face Detection (HP)
|
100% |
14688
174.5 IPS |
|
|
Face Detection (Q)
|
100% |
40674
483.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19038
146.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18954
146.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
56729
441.5 IPS |
|
|
Style Transfer (SP)
|
100% |
67065
86.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67848
87.2 IPS |
|
|
Style Transfer (Q)
|
98% |
248375
320.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12006
443.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12364
456.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32849
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3962
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4709
6.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6682
115.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6833
117.7 IPS |
|
|
Machine Translation (Q)
|
100% |
6993
120.5 IPS |
