Micro-Star International Co., Ltd. MS-7E56
Geekbench AI Score
35700
Single Precision Score
62696
Half Precision Score
26832
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 14 2026 05:11 PM |
| Views | 2 |
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-7E56 |
| Motherboard | Micro-Star International Co., Ltd. B850 GAMING PLUS WIFI (MS-7E56) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14799
2.75 KIPS |
|
|
Image Classification (HP)
|
100% |
22448
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
12930
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28178
456.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
43163
699.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25115
408.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
179893
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
736442
859.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
161829
189.6 IPS |
|
|
Object Detection (SP)
|
100% |
18710
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
30974
2.46 KIPS |
|
|
Object Detection (Q)
|
86% |
15484
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
55746
662.4 IPS |
|
|
Face Detection (HP)
|
100% |
82593
981.4 IPS |
|
|
Face Detection (Q)
|
97% |
44904
535.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
88495
681.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
153144
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65752
525.0 IPS |
|
|
Style Transfer (SP)
|
100% |
330759
425.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1065556
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
274311
353.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49980
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84370
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37932
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4836
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7615
131.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7722
133.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3232
60.6 IPS |
