MC-80 Liberty 23H2 GTX 1050 Ti ONNX Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
3961
Single Precision Score
3981
Half Precision Score
2931
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chemeya |
| Upload Date | November 05 2025 12:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 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% |
828
153.9 IPS |
|
|
Image Classification (HP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (Q)
|
99% |
775
144.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2234
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2081
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20282
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11168
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
16977
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (Q)
|
83% |
1053
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
3574
42.5 IPS |
|
|
Face Detection (Q)
|
97% |
2086
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7604
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6874
53.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6168
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34201
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20520
26.4 IPS |
|
|
Style Transfer (Q)
|
98% |
27510
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7443
274.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4972
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (Q)
|
97% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2691
46.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1077
20.2 IPS |
