Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
22746
Single Precision Score
36473
Half Precision Score
13736
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 09:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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 | High performance |
| 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% |
9101
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
13380
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
6186
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17823
288.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25857
419.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12307
200.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
108401
126.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
288617
336.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
90046
105.5 IPS |
|
|
Object Detection (SP)
|
100% |
11667
925.5 IPS |
|
|
Object Detection (HP)
|
100% |
17877
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
7466
600.6 IPS |
|
|
Face Detection (SP)
|
100% |
31243
371.2 IPS |
|
|
Face Detection (HP)
|
100% |
49423
587.2 IPS |
|
|
Face Detection (Q)
|
97% |
20343
242.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
52291
402.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100136
771.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
33615
269.2 IPS |
|
|
Style Transfer (SP)
|
100% |
237165
304.9 IPS |
|
|
Style Transfer (HP)
|
100% |
593888
763.5 IPS |
|
|
Style Transfer (Q)
|
98% |
173158
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34721
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52784
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20325
752.6 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3550
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1360
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4639
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1428
26.8 IPS |
