Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
38485
Single Precision Score
45758
Half Precision Score
30262
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | aneeshprabhu6 |
| Upload Date | July 25 2025 08:34 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16431
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
17193
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
14037
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26390
427.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22803
369.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23786
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
280281
327.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
503931
588.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
247234
289.6 IPS |
|
|
Object Detection (SP)
|
100% |
18213
1.44 KIPS |
|
|
Object Detection (HP)
|
99% |
19959
1.58 KIPS |
|
|
Object Detection (Q)
|
87% |
15606
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
53073
630.6 IPS |
|
|
Face Detection (HP)
|
100% |
63171
750.6 IPS |
|
|
Face Detection (Q)
|
97% |
46186
550.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
83624
644.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101776
784.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
68719
550.7 IPS |
|
|
Style Transfer (SP)
|
100% |
464323
596.9 IPS |
|
|
Style Transfer (HP)
|
100% |
708824
911.2 IPS |
|
|
Style Transfer (Q)
|
98% |
402372
518.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51212
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68998
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41498
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4623
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2923
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
6601
113.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6845
117.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3228
60.5 IPS |
