Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
17366
Single Precision Score
29208
Half Precision Score
13500
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 06:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
7268
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
12855
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
6373
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11313
183.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15062
244.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10196
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
82038
95.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
235823
275.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
72585
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
8716
691.4 IPS |
|
|
Object Detection (HP)
|
100% |
15160
1.20 KIPS |
|
|
Object Detection (Q)
|
84% |
7721
622.8 IPS |
|
|
Face Detection (SP)
|
100% |
20269
240.8 IPS |
|
|
Face Detection (HP)
|
100% |
32322
384.1 IPS |
|
|
Face Detection (Q)
|
97% |
17483
208.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
41615
320.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
79360
611.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
33791
270.3 IPS |
|
|
Style Transfer (SP)
|
100% |
139680
179.6 IPS |
|
|
Style Transfer (HP)
|
100% |
338902
435.7 IPS |
|
|
Style Transfer (Q)
|
98% |
125359
161.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28669
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47363
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21781
806.5 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1693
31.7 IPS |
