Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
29081
Single Precision Score
47139
Half Precision Score
22563
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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 i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12660
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
18366
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11240
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17485
283.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22367
362.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16062
261.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
166846
194.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
591411
690.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
149351
174.9 IPS |
|
|
Object Detection (SP)
|
100% |
15179
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
22542
1.79 KIPS |
|
|
Object Detection (Q)
|
86% |
12663
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
38435
456.7 IPS |
|
|
Face Detection (HP)
|
100% |
49208
584.7 IPS |
|
|
Face Detection (Q)
|
97% |
32897
392.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
81625
628.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
137318
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60942
486.6 IPS |
|
|
Style Transfer (SP)
|
100% |
299198
384.6 IPS |
|
|
Style Transfer (HP)
|
100% |
896145
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
252166
325.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44044
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70456
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34353
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3847
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4791
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2301
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2507
47.0 IPS |
