Micro-Star International Co., Ltd. MS-7D13
Geekbench AI Score
31482
Single Precision Score
52066
Half Precision Score
24174
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 11:47 AM |
| Views | 4 |
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-7D13 |
| Motherboard | Micro-Star International Co., Ltd. MEG B550 UNIFY (MS-7D13) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12915
2.40 KIPS |
|
|
Image Classification (HP)
|
100% |
18555
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11338
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21959
356.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30602
496.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20055
326.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
177105
206.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
666149
777.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
158969
186.2 IPS |
|
|
Object Detection (SP)
|
100% |
16275
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
25285
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
13501
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
48664
578.2 IPS |
|
|
Face Detection (HP)
|
100% |
68311
811.7 IPS |
|
|
Face Detection (Q)
|
97% |
40096
478.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
85100
655.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
143425
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63916
510.4 IPS |
|
|
Style Transfer (SP)
|
100% |
313828
403.4 IPS |
|
|
Style Transfer (HP)
|
100% |
951581
1.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
261584
337.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44563
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71475
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34591
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3352
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2105
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6028
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5872
101.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2861
53.7 IPS |
