Gigabyte Technology Co., Ltd. X870E AORUS ELITE X3D ICE
Geekbench AI Score
33120
Single Precision Score
58126
Half Precision Score
24585
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 04:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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% |
13195
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
19485
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
11277
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26211
424.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
39067
633.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23391
380.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
170934
199.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
710460
829.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
156126
182.9 IPS |
|
|
Object Detection (SP)
|
100% |
17020
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
26845
2.13 KIPS |
|
|
Object Detection (Q)
|
86% |
13947
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
51991
617.8 IPS |
|
|
Face Detection (HP)
|
100% |
76828
912.9 IPS |
|
|
Face Detection (Q)
|
97% |
42363
505.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
83445
642.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
150509
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62663
500.4 IPS |
|
|
Style Transfer (SP)
|
100% |
313468
403.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1054821
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
260276
335.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45473
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79458
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35608
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4564
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2248
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6940
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6856
118.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2540
47.6 IPS |
