Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
30201
Single Precision Score
54491
Half Precision Score
23297
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 10:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11997
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
21201
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
10882
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22208
360.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
34146
553.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20419
332.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
168611
196.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
500175
583.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
144983
169.8 IPS |
|
|
Object Detection (SP)
|
100% |
16005
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
27874
2.21 KIPS |
|
|
Object Detection (Q)
|
83% |
13481
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44143
524.5 IPS |
|
|
Face Detection (HP)
|
100% |
69487
825.7 IPS |
|
|
Face Detection (Q)
|
97% |
37207
443.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
71001
547.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
141380
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55522
443.2 IPS |
|
|
Style Transfer (SP)
|
100% |
234728
301.7 IPS |
|
|
Style Transfer (HP)
|
100% |
819972
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
201267
259.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43405
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80462
2.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34514
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5123
6.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2485
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6686
115.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6888
118.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3042
57.1 IPS |
