MC-80 Liberty 23H2 GTX 750 Ti Gigabyte Technology Co., Ltd. B660I AORUS PRO DDR4
Geekbench AI Score
2638
Single Precision Score
2594
Half Precision Score
1922
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | chemeya |
| Upload Date | November 05 2025 01:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 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% |
1021
190.0 IPS |
|
|
Image Classification (HP)
|
100% |
1002
186.3 IPS |
|
|
Image Classification (Q)
|
99% |
861
160.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1122
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7897
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
7413
8.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
7070
8.28 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
1234
97.9 IPS |
|
|
Object Detection (Q)
|
83% |
1041
84.1 IPS |
|
|
Face Detection (SP)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2177
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
1765
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4443
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4318
33.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3611
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12993
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12729
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11602
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3493
129.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2637
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (Q)
|
97% |
620
830.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2054
35.5 IPS |
|
|
Machine Translation (Q)
|
70% |
804
15.1 IPS |
