Fractalbin System manufacturer System Product Name
Geekbench AI Score
3719
Single Precision Score
3718
Half Precision Score
2802
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | albzn |
| Upload Date | March 18 2025 07:05 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170I PRO GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
802
149.1 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
99% |
745
139.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2000
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19853
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10705
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16644
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (Q)
|
83% |
1034
83.6 IPS |
|
|
Face Detection (SP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (Q)
|
97% |
2043
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7487
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6728
52.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6090
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33150
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20102
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27018
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1477
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
743
995.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2181
37.7 IPS |
|
|
Machine Translation (Q)
|
70% |
976
18.3 IPS |
