EVGA Z170 classified 4-way - RTX 3060 Ti EVGA INTERNATIONAL CO.,LTD Default string
Geekbench AI Score
12844
Single Precision Score
18820
Half Precision Score
8830
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | February 10 2025 01:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | EVGA INTERNATIONAL CO.,LTD Default string |
| Motherboard | EVGA INTERNATIONAL CO.,LTD 151-SS-E179 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4690
872.1 IPS |
|
|
Image Classification (HP)
|
99% |
6319
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
3709
689.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7468
121.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9274
150.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6312
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
87755
102.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
208984
243.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
67905
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
5633
446.8 IPS |
|
|
Object Detection (HP)
|
100% |
7854
623.0 IPS |
|
|
Object Detection (Q)
|
85% |
4628
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
14827
176.2 IPS |
|
|
Face Detection (HP)
|
100% |
19862
236.0 IPS |
|
|
Face Detection (Q)
|
97% |
12190
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
35537
273.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
60062
462.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
24047
192.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135445
174.1 IPS |
|
|
Style Transfer (HP)
|
100% |
300973
386.9 IPS |
|
|
Style Transfer (Q)
|
98% |
108255
139.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21380
789.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27140
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13132
486.3 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
2881
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
890
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1056
19.8 IPS |
