Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
29023
Single Precision Score
39038
Half Precision Score
25010
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | kducarmont |
| Upload Date | March 06 2025 09:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E07 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-A MAX WIFI (MS-7E07) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11045
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
14427
2.68 KIPS |
|
|
Image Classification (Q)
|
99% |
11315
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13762
223.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15430
250.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16860
274.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
212070
247.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
585568
683.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
193758
227.0 IPS |
|
|
Object Detection (SP)
|
100% |
12577
997.6 IPS |
|
|
Object Detection (HP)
|
99% |
15181
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
12071
969.4 IPS |
|
|
Face Detection (SP)
|
100% |
40130
476.8 IPS |
|
|
Face Detection (HP)
|
100% |
47054
559.1 IPS |
|
|
Face Detection (Q)
|
97% |
37743
450.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
73298
564.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111496
859.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
61966
496.6 IPS |
|
|
Style Transfer (SP)
|
100% |
386699
497.1 IPS |
|
|
Style Transfer (HP)
|
100% |
627201
806.3 IPS |
|
|
Style Transfer (Q)
|
98% |
330613
426.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43434
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61912
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35793
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
4578
6.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4377
5.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2821
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4659
80.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2749
51.6 IPS |
