Micro-Star International Co., Ltd. MS-7E24
Geekbench AI Score
22702
Single Precision Score
27244
Half Precision Score
18687
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 12:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 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 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10353
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
11368
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8956
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11856
192.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11119
180.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10368
168.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
166600
194.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
293536
342.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
144668
169.5 IPS |
|
|
Object Detection (SP)
|
100% |
11436
907.1 IPS |
|
|
Object Detection (HP)
|
99% |
13150
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
9599
771.0 IPS |
|
|
Face Detection (SP)
|
100% |
28803
342.2 IPS |
|
|
Face Detection (HP)
|
100% |
33180
394.3 IPS |
|
|
Face Detection (Q)
|
97% |
26596
317.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
57920
446.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
64143
494.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
50933
408.2 IPS |
|
|
Style Transfer (SP)
|
100% |
306077
393.5 IPS |
|
|
Style Transfer (HP)
|
100% |
444900
571.9 IPS |
|
|
Style Transfer (Q)
|
98% |
255425
329.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28293
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40511
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24411
903.9 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2262
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3265
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2108
39.5 IPS |
