Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
27499
Single Precision Score
47919
Half Precision Score
21420
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 08:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
11369
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
19501
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
10219
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18253
295.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25382
411.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16625
270.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
152430
177.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
458729
535.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
136538
159.9 IPS |
|
|
Object Detection (SP)
|
100% |
14767
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
24452
1.94 KIPS |
|
|
Object Detection (Q)
|
83% |
12381
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
37131
441.2 IPS |
|
|
Face Detection (HP)
|
100% |
52465
623.4 IPS |
|
|
Face Detection (Q)
|
97% |
32216
384.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68310
526.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
128176
987.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
51621
412.0 IPS |
|
|
Style Transfer (SP)
|
100% |
225643
290.1 IPS |
|
|
Style Transfer (HP)
|
100% |
777176
999.1 IPS |
|
|
Style Transfer (Q)
|
98% |
196180
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41836
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78439
2.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32819
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2438
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5482
94.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2713
50.9 IPS |
