RTX 3080 Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
23580
Single Precision Score
36424
Half Precision Score
14510
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Syl-13 |
| Upload Date | February 04 2025 05:43 AM |
| Views | 16 |
| Notes | RTX 3080 + 7800X3D |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9696
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
13519
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
6545
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15771
255.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22683
367.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11648
189.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
134552
157.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
387090
451.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
104652
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
12332
978.2 IPS |
|
|
Object Detection (HP)
|
100% |
17783
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
8218
661.1 IPS |
|
|
Face Detection (SP)
|
100% |
31455
373.8 IPS |
|
|
Face Detection (HP)
|
100% |
45090
535.8 IPS |
|
|
Face Detection (Q)
|
97% |
21633
258.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
61739
475.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
102346
788.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
36429
291.8 IPS |
|
|
Style Transfer (SP)
|
100% |
243321
312.8 IPS |
|
|
Style Transfer (HP)
|
100% |
580972
746.8 IPS |
|
|
Style Transfer (Q)
|
98% |
179887
232.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36253
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45288
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20021
741.4 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1446
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4321
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1538
28.8 IPS |
