Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
19257
Single Precision Score
35896
Half Precision Score
14669
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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% |
8419
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
16141
3.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7230
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13283
215.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19586
317.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12101
196.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
91111
106.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
290548
339.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
79334
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
10485
831.7 IPS |
|
|
Object Detection (HP)
|
100% |
17587
1.39 KIPS |
|
|
Object Detection (Q)
|
83% |
8706
703.4 IPS |
|
|
Face Detection (SP)
|
100% |
24556
291.8 IPS |
|
|
Face Detection (HP)
|
100% |
40275
478.5 IPS |
|
|
Face Detection (Q)
|
97% |
21520
256.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44734
344.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96085
740.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
36705
293.5 IPS |
|
|
Style Transfer (SP)
|
100% |
144795
186.1 IPS |
|
|
Style Transfer (HP)
|
100% |
496806
638.7 IPS |
|
|
Style Transfer (Q)
|
98% |
120873
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26702
986.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54930
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21235
786.3 IPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4497
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2168
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4630
79.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1737
32.6 IPS |
