Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
24406
Single Precision Score
37485
Half Precision Score
18094
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 11:24 AM |
| 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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9707
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
15915
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
8372
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15498
251.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19031
308.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14158
230.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
139175
162.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
330212
385.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
120857
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
12047
955.6 IPS |
|
|
Object Detection (HP)
|
100% |
19024
1.51 KIPS |
|
|
Object Detection (Q)
|
88% |
9381
752.3 IPS |
|
|
Face Detection (SP)
|
100% |
27979
332.4 IPS |
|
|
Face Detection (HP)
|
100% |
39824
473.2 IPS |
|
|
Face Detection (Q)
|
97% |
22977
274.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
55021
423.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103704
799.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
43195
347.5 IPS |
|
|
Style Transfer (SP)
|
100% |
249608
320.9 IPS |
|
|
Style Transfer (HP)
|
100% |
577136
741.9 IPS |
|
|
Style Transfer (Q)
|
98% |
218396
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46267
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57014
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32913
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2288
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4313
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1715
38.2 IPS |
