Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5493
Single Precision Score
1691
Half Precision Score
9031
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Domado |
| Upload Date | July 28 2025 07:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| 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% |
4441
825.8 IPS |
|
|
Image Classification (HP)
|
100% |
589
109.5 IPS |
|
|
Image Classification (Q)
|
99% |
7148
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12478
202.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10974
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4989
5.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
33049
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4276
339.1 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
7799
626.8 IPS |
|
|
Face Detection (SP)
|
100% |
13128
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
11391
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12692
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2206
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17465
139.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24570
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12709
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29612
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5539
205.1 IPS |
|
|
Text Classification (SP)
|
100% |
1629
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1475
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2206
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3264
65.6 IPS |
