Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
27947
Single Precision Score
47845
Half Precision Score
21721
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 01:40 PM |
| Views | 3 |
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 i7-14700 |
| 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% |
10745
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
18094
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
9891
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19873
322.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28757
466.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17994
292.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
164855
192.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
463818
541.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
142558
167.0 IPS |
|
|
Object Detection (SP)
|
100% |
14496
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
23261
1.85 KIPS |
|
|
Object Detection (Q)
|
83% |
11999
969.5 IPS |
|
|
Face Detection (SP)
|
100% |
38524
457.8 IPS |
|
|
Face Detection (HP)
|
100% |
54134
643.2 IPS |
|
|
Face Detection (Q)
|
97% |
32535
387.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
67416
519.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
124831
961.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
53664
428.3 IPS |
|
|
Style Transfer (SP)
|
100% |
229669
295.2 IPS |
|
|
Style Transfer (HP)
|
100% |
753603
968.8 IPS |
|
|
Style Transfer (Q)
|
98% |
197306
254.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40731
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74368
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32019
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3877
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2412
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6047
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6168
106.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2887
54.2 IPS |
