Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
50246
Single Precision Score
76752
Half Precision Score
36679
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dedmouze |
| Upload Date | September 20 2025 11:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| 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% |
18199
3.38 KIPS |
|
|
Image Classification (HP)
|
100% |
23695
4.41 KIPS |
|
|
Image Classification (Q)
|
100% |
15511
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39908
646.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
52429
849.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36989
601.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
410254
478.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1030270
1.20 KIPS |
|
|
Pose Estimation (Q)
|
96% |
329952
386.5 IPS |
|
|
Object Detection (SP)
|
100% |
25727
2.04 KIPS |
|
|
Object Detection (HP)
|
100% |
34651
2.75 KIPS |
|
|
Object Detection (Q)
|
85% |
21267
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
77712
923.4 IPS |
|
|
Face Detection (HP)
|
100% |
107319
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
61995
739.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
109214
841.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
195613
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77862
623.6 IPS |
|
|
Style Transfer (SP)
|
100% |
615704
791.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1825454
2.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
514613
663.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78207
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103614
3.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55117
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4221
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5210
6.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2461
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
7758
133.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7733
133.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3249
60.9 IPS |
