Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
35993
Single Precision Score
58448
Half Precision Score
26754
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
14039
2.61 KIPS |
|
|
Image Classification (HP)
|
100% |
20376
3.79 KIPS |
|
|
Image Classification (Q)
|
100% |
11933
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24824
402.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34330
556.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23431
381.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
240894
281.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
709689
828.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
205107
240.6 IPS |
|
|
Object Detection (SP)
|
100% |
19286
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
30011
2.38 KIPS |
|
|
Object Detection (Q)
|
89% |
15799
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
51540
612.4 IPS |
|
|
Face Detection (HP)
|
100% |
69239
822.7 IPS |
|
|
Face Detection (Q)
|
97% |
41178
491.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
89978
693.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
152097
1.17 KIPS |
|
|
Depth Estimation (Q)
|
76% |
64544
518.8 IPS |
|
|
Style Transfer (SP)
|
100% |
355224
456.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1149615
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
309424
399.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56967
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86722
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42356
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4696
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2333
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6322
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6335
109.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2552
56.9 IPS |
