Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
26157
Single Precision Score
44904
Half Precision Score
20701
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10947
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
18421
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10053
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16121
261.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21319
345.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14999
243.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
153913
179.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
451886
527.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
132938
155.7 IPS |
|
|
Object Detection (SP)
|
100% |
14071
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
21822
1.73 KIPS |
|
|
Object Detection (Q)
|
83% |
11904
961.8 IPS |
|
|
Face Detection (SP)
|
100% |
33579
399.0 IPS |
|
|
Face Detection (HP)
|
100% |
46408
551.4 IPS |
|
|
Face Detection (Q)
|
97% |
29870
356.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
67733
521.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
132686
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
52282
417.3 IPS |
|
|
Style Transfer (SP)
|
100% |
221639
284.9 IPS |
|
|
Style Transfer (HP)
|
100% |
754553
970.0 IPS |
|
|
Style Transfer (Q)
|
98% |
195134
251.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40815
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76345
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32285
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
5030
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2488
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2475
46.4 IPS |
