Micro-Star International Co., Ltd. MS-7D70
Geekbench AI Score
25586
Single Precision Score
38898
Half Precision Score
19256
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 02:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D70 |
| Motherboard | Micro-Star International Co., Ltd. MPG X670E CARBON WIFI (MS-7D70) |
| 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% |
9964
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
15119
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8622
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18190
294.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22895
371.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16131
262.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
145203
169.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
339356
396.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
128117
150.0 IPS |
|
|
Object Detection (SP)
|
100% |
12896
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
20243
1.61 KIPS |
|
|
Object Detection (Q)
|
88% |
10328
828.3 IPS |
|
|
Face Detection (SP)
|
100% |
30363
360.8 IPS |
|
|
Face Detection (HP)
|
100% |
45379
539.2 IPS |
|
|
Face Detection (Q)
|
97% |
24910
297.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
56487
435.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104352
804.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
44610
358.8 IPS |
|
|
Style Transfer (SP)
|
100% |
252518
324.6 IPS |
|
|
Style Transfer (HP)
|
100% |
577732
742.7 IPS |
|
|
Style Transfer (Q)
|
98% |
230247
296.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45879
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54937
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33006
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4277
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2066
46.1 IPS |
