Micro-Star International Co., Ltd. MS-7D29
Geekbench AI Score
40617
Single Precision Score
55858
Half Precision Score
30627
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Morgulio |
| Upload Date | September 21 2025 08:47 AM |
| Views | 2 |
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-7D29 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690I UNIFY (MS-7D29) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14253
2.65 KIPS |
|
|
Image Classification (HP)
|
99% |
19307
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
12320
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27547
446.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35270
571.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24968
406.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
331411
386.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
579600
676.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
284347
333.2 IPS |
|
|
Object Detection (SP)
|
100% |
19682
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
25694
2.04 KIPS |
|
|
Object Detection (Q)
|
86% |
16577
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
57414
682.2 IPS |
|
|
Face Detection (HP)
|
100% |
72143
857.2 IPS |
|
|
Face Detection (Q)
|
97% |
48571
579.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
102412
789.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
164097
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74778
598.1 IPS |
|
|
Style Transfer (SP)
|
100% |
581003
746.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1116564
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
490216
632.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61929
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80712
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45649
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
3644
4.86 KIPS |
|
|
Text Classification (HP)
|
99% |
4463
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2210
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6190
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6124
105.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2789
52.3 IPS |
