Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
52847
Single Precision Score
80474
Half Precision Score
38123
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gust334 |
| Upload Date | June 29 2025 05:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19286
3.59 KIPS |
|
|
Image Classification (HP)
|
100% |
25153
4.68 KIPS |
|
|
Image Classification (Q)
|
100% |
16336
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
42060
681.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
55130
893.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
38385
624.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
424650
495.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1000304
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338576
396.6 IPS |
|
|
Object Detection (SP)
|
100% |
27509
2.18 KIPS |
|
|
Object Detection (HP)
|
100% |
36857
2.92 KIPS |
|
|
Object Detection (Q)
|
85% |
22224
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
83530
992.5 IPS |
|
|
Face Detection (HP)
|
100% |
115482
1.37 KIPS |
|
|
Face Detection (Q)
|
97% |
64587
770.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
113031
870.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
207357
1.60 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79603
637.6 IPS |
|
|
Style Transfer (SP)
|
100% |
642414
825.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1908298
2.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
533985
688.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
82192
3.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
110420
4.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58082
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
4479
5.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2610
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
8031
138.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8185
141.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3303
61.9 IPS |
