Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
37982
Single Precision Score
53470
Half Precision Score
27695
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DeakonFrost |
| Upload Date | September 16 2025 05:56 AM |
| Views | 13 |
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-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14040
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
19033
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
11898
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25749
417.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
31871
516.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23110
375.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
290779
339.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
518614
605.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
253787
297.4 IPS |
|
|
Object Detection (SP)
|
100% |
19042
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24732
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
15774
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54497
647.5 IPS |
|
|
Face Detection (HP)
|
100% |
70171
833.8 IPS |
|
|
Face Detection (Q)
|
97% |
45474
542.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87741
676.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
156767
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
60104
480.7 IPS |
|
|
Style Transfer (SP)
|
100% |
523633
673.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1104170
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
435806
562.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59337
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79325
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43120
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4555
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2089
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5703
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2248
42.2 IPS |
