Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
32697
Single Precision Score
55636
Half Precision Score
25026
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:50 PM |
| Views | 3 |
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-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14032
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
21399
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12428
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20993
340.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28374
460.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19375
315.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
177068
206.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
671672
783.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
159292
186.6 IPS |
|
|
Object Detection (SP)
|
100% |
17354
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
28516
2.26 KIPS |
|
|
Object Detection (Q)
|
86% |
14514
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
48575
577.2 IPS |
|
|
Face Detection (HP)
|
100% |
67829
806.0 IPS |
|
|
Face Detection (Q)
|
97% |
40224
479.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87656
675.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
148576
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65744
525.0 IPS |
|
|
Style Transfer (SP)
|
100% |
321901
413.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1023834
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
266347
343.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48547
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81617
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37110
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5037
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5709
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2774
52.0 IPS |
