Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
34669
Single Precision Score
60769
Half Precision Score
26144
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 13 2025 10:16 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-7E24 |
| Motherboard | Micro-Star International Co., Ltd. B650M GAMING PLUS WIFI (MS-7E24) |
| 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% |
14367
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
21923
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
12675
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25165
407.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
37183
602.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22789
370.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
175358
204.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
722078
842.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
158098
185.2 IPS |
|
|
Object Detection (SP)
|
100% |
18266
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
30163
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
15562
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53805
639.3 IPS |
|
|
Face Detection (HP)
|
100% |
79297
942.2 IPS |
|
|
Face Detection (Q)
|
97% |
43172
514.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
87157
671.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
155531
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64565
515.6 IPS |
|
|
Style Transfer (SP)
|
100% |
322789
414.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1046674
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
267420
344.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49995
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84149
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37897
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5029
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7094
122.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7082
122.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3050
57.2 IPS |
