3070 Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
18301
Single Precision Score
28999
Half Precision Score
11649
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | umosmani |
| Upload Date | August 15 2024 09:39 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M BAZOOKA (MS-7C95) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7375
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
11080
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
5108
950.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11550
187.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16750
271.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9233
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
110535
129.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
300005
350.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
87118
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
9362
742.6 IPS |
|
|
Object Detection (HP)
|
100% |
14405
1.14 KIPS |
|
|
Object Detection (Q)
|
88% |
6836
548.2 IPS |
|
|
Face Detection (SP)
|
100% |
19221
228.4 IPS |
|
|
Face Detection (HP)
|
100% |
29605
351.8 IPS |
|
|
Face Detection (Q)
|
97% |
14149
168.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43595
335.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82041
632.1 IPS |
|
|
Depth Estimation (Q)
|
69% |
27266
231.0 IPS |
|
|
Style Transfer (SP)
|
100% |
182459
234.6 IPS |
|
|
Style Transfer (HP)
|
100% |
435315
559.6 IPS |
|
|
Style Transfer (Q)
|
98% |
139595
180.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31158
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41519
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17951
664.7 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3387
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3527
60.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1216
27.1 IPS |
