Micro-Star International Co., Ltd. MS-7D69
Geekbench AI Score
38349
Single Precision Score
52346
Half Precision Score
29032
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Spark9 |
| Upload Date | December 16 2024 10:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13796
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
17980
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
11863
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23457
380.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28685
465.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21807
354.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
321494
375.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
540628
630.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
278546
326.4 IPS |
|
|
Object Detection (SP)
|
100% |
19170
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
24690
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
16043
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
53914
640.6 IPS |
|
|
Face Detection (HP)
|
100% |
67791
805.5 IPS |
|
|
Face Detection (Q)
|
97% |
45799
546.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
96762
745.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
161225
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70105
560.7 IPS |
|
|
Style Transfer (SP)
|
100% |
581272
747.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1118008
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
491786
634.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58777
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77173
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43268
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3519
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4419
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2105
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5385
92.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2559
48.0 IPS |
