Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
3746
Single Precision Score
1458
Half Precision Score
7496
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | berkctezc |
| Upload Date | February 08 2025 06:48 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2575
478.9 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
99% |
7311
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3618
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6733
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5511
6.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
26381
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3067
243.3 IPS |
|
|
Object Detection (HP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
7826
629.0 IPS |
|
|
Face Detection (SP)
|
100% |
6423
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
11449
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7812
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2334
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16573
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15051
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13883
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31966
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
1423
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
669
892.6 IPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2414
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3516
70.6 IPS |
