Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
47727
Single Precision Score
70582
Half Precision Score
35503
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 08 2025 02:57 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17743
3.30 KIPS |
|
|
Image Classification (HP)
|
100% |
23228
4.32 KIPS |
|
|
Image Classification (Q)
|
100% |
15367
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30593
495.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
37816
613.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29560
480.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
402890
470.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
923593
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315819
369.9 IPS |
|
|
Object Detection (SP)
|
100% |
25277
2.00 KIPS |
|
|
Object Detection (HP)
|
100% |
33334
2.64 KIPS |
|
|
Object Detection (Q)
|
85% |
21023
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
70080
832.7 IPS |
|
|
Face Detection (HP)
|
100% |
91393
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
57521
685.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
111963
862.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
198092
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80270
642.9 IPS |
|
|
Style Transfer (SP)
|
100% |
636839
818.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1771898
2.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
533992
688.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79452
2.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104425
3.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55950
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4340
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2560
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6439
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6477
111.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2988
56.0 IPS |
