NVIDIA GeForce RTX 3080 Ti System manufacturer System Product Name
Geekbench AI Score
20322
Single Precision Score
28362
Half Precision Score
13235
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Maditgeek |
| Upload Date | January 24 2025 01:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X470-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8500
1.58 KIPS |
|
|
Image Classification (HP)
|
99% |
11154
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5905
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10794
175.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13093
212.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8537
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
162981
190.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
321327
374.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
124480
145.8 IPS |
|
|
Object Detection (SP)
|
100% |
10532
835.4 IPS |
|
|
Object Detection (HP)
|
100% |
13694
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7460
600.1 IPS |
|
|
Face Detection (SP)
|
100% |
22761
270.4 IPS |
|
|
Face Detection (HP)
|
100% |
28151
334.5 IPS |
|
|
Face Detection (Q)
|
97% |
16716
199.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
56967
438.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95156
733.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
34823
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
250271
321.7 IPS |
|
|
Style Transfer (HP)
|
100% |
537702
691.2 IPS |
|
|
Style Transfer (Q)
|
98% |
183192
236.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34023
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44105
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19961
739.1 IPS |
|
|
Text Classification (SP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
2956
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2832
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1260
23.6 IPS |
