Micro-Star International Co., Ltd. MS-7D78
Geekbench AI Score
48300
Single Precision Score
72403
Half Precision Score
35373
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tmsteere |
| Upload Date | April 21 2025 11:25 PM |
| Views | 8 |
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-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-P WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores |
| 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% |
17033
3.17 KIPS |
|
|
Image Classification (HP)
|
100% |
22010
4.09 KIPS |
|
|
Image Classification (Q)
|
100% |
14478
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37983
615.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
50527
819.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
35407
575.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
401353
468.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
992829
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314814
368.8 IPS |
|
|
Object Detection (SP)
|
100% |
24508
1.94 KIPS |
|
|
Object Detection (HP)
|
100% |
32011
2.54 KIPS |
|
|
Object Detection (Q)
|
85% |
20137
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
75657
899.0 IPS |
|
|
Face Detection (HP)
|
100% |
102720
1.22 KIPS |
|
|
Face Detection (Q)
|
97% |
60036
715.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
108000
832.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
188338
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76955
616.4 IPS |
|
|
Style Transfer (SP)
|
100% |
618165
794.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1735451
2.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
519439
669.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73863
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97711
3.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52476
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3969
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4734
6.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2344
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
7333
126.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7213
124.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3198
60.0 IPS |
