Fractalbin System manufacturer System Product Name
Geekbench AI Score
3720
Single Precision Score
3710
Half Precision Score
2812
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | albzn |
| Upload Date | March 18 2025 07:02 PM |
| Views | 5 |
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% |
801
149.0 IPS |
|
|
Image Classification (HP)
|
100% |
1517
282.1 IPS |
|
|
Image Classification (Q)
|
99% |
748
139.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1950
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19925
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10822
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16675
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
1881
149.2 IPS |
|
|
Object Detection (Q)
|
83% |
1040
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
2292
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (Q)
|
97% |
2039
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7509
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6744
52.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
6083
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33262
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20007
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26966
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5242
193.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4829
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
1246
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2144
37.1 IPS |
|
|
Machine Translation (Q)
|
70% |
978
18.3 IPS |
