Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
34366
Single Precision Score
46453
Half Precision Score
29548
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 10 2025 02:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
16252
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
18370
3.42 KIPS |
|
|
Image Classification (Q)
|
99% |
15429
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16562
268.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18925
306.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20476
332.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
209299
244.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
621813
725.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
190812
223.5 IPS |
|
|
Object Detection (SP)
|
100% |
17534
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
20699
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16332
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
46766
555.7 IPS |
|
|
Face Detection (HP)
|
100% |
53863
640.0 IPS |
|
|
Face Detection (Q)
|
97% |
43239
515.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
87270
672.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
129546
998.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
72467
580.7 IPS |
|
|
Style Transfer (SP)
|
100% |
394654
507.3 IPS |
|
|
Style Transfer (HP)
|
100% |
697186
896.2 IPS |
|
|
Style Transfer (Q)
|
98% |
360088
464.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52795
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87096
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44693
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4967
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4346
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2909
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5508
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5679
97.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3513
65.9 IPS |
