Micro-Star International Co., Ltd. MS-7D67
Geekbench AI Score
40455
Single Precision Score
55394
Half Precision Score
30475
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 26 2025 02:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D67 |
| Motherboard | Micro-Star International Co., Ltd. PRO X670-P WIFI (MS-7D67) |
| 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% |
14266
2.65 KIPS |
|
|
Image Classification (HP)
|
99% |
19124
3.57 KIPS |
|
|
Image Classification (Q)
|
100% |
12321
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27789
450.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32080
520.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25496
414.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
319767
373.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
564736
659.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
277236
324.8 IPS |
|
|
Object Detection (SP)
|
100% |
20264
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
26471
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
16836
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
59081
702.0 IPS |
|
|
Face Detection (HP)
|
100% |
75814
900.8 IPS |
|
|
Face Detection (Q)
|
97% |
49426
589.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
100971
777.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
163917
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73169
585.2 IPS |
|
|
Style Transfer (SP)
|
100% |
579535
745.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1135304
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
495352
638.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61545
2.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81802
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45405
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
97% |
2081
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6432
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2784
52.2 IPS |
