Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
49674
Single Precision Score
75172
Half Precision Score
36203
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bmol |
| Upload Date | April 02 2025 01:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (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 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17567
3.27 KIPS |
|
|
Image Classification (HP)
|
100% |
23107
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
15009
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38815
629.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
51258
830.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
35621
579.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
401338
468.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
959032
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315238
369.3 IPS |
|
|
Object Detection (SP)
|
100% |
26185
2.08 KIPS |
|
|
Object Detection (HP)
|
100% |
35243
2.80 KIPS |
|
|
Object Detection (Q)
|
85% |
20902
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
77598
922.0 IPS |
|
|
Face Detection (HP)
|
100% |
107473
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
60770
724.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
109007
839.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
194429
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79009
632.8 IPS |
|
|
Style Transfer (SP)
|
100% |
629867
809.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1809782
2.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
528468
681.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76577
2.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101687
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54471
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4172
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4970
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2456
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7501
129.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7531
129.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3235
60.7 IPS |
