Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
46593
Single Precision Score
69129
Half Precision Score
34003
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Domado |
| Upload Date | July 28 2025 07:23 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P II (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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% |
17359
3.23 KIPS |
|
|
Image Classification (HP)
|
100% |
22550
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
14642
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35624
577.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
44623
723.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31663
514.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
393168
458.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
899287
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
314030
367.8 IPS |
|
|
Object Detection (SP)
|
100% |
23057
1.83 KIPS |
|
|
Object Detection (HP)
|
100% |
29324
2.33 KIPS |
|
|
Object Detection (Q)
|
85% |
18869
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
66605
791.4 IPS |
|
|
Face Detection (HP)
|
100% |
83044
986.7 IPS |
|
|
Face Detection (Q)
|
97% |
53327
635.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
104251
803.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
183270
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73444
588.3 IPS |
|
|
Style Transfer (SP)
|
100% |
576144
740.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1639200
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
483079
622.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72947
2.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100167
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51849
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4227
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5323
7.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6973
120.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7061
121.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3061
57.4 IPS |
