MC-80 Liberty RTX 5070 Ti Chip Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
32914
Single Precision Score
55843
Half Precision Score
25177
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chemeya |
| Upload Date | November 12 2025 07:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13756
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
20838
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
12252
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23623
382.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
33495
543.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21059
342.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
172856
201.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
678677
791.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
157640
184.7 IPS |
|
|
Object Detection (SP)
|
100% |
16561
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
25759
2.04 KIPS |
|
|
Object Detection (Q)
|
86% |
13913
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
45488
540.5 IPS |
|
|
Face Detection (HP)
|
100% |
61632
732.3 IPS |
|
|
Face Detection (Q)
|
97% |
38436
458.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
85160
656.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
147501
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63888
510.2 IPS |
|
|
Style Transfer (SP)
|
100% |
318426
409.3 IPS |
|
|
Style Transfer (HP)
|
100% |
986668
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
263561
339.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48760
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79733
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37485
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4205
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5242
7.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2533
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6343
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6447
111.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2944
55.2 IPS |
