Micro-Star International Co., Ltd. MS-7E07
Geekbench AI Score
38459
Single Precision Score
53849
Half Precision Score
28857
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 02:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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 i9-14900K |
| 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% |
13366
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
18497
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11732
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26120
423.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33478
542.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23553
383.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
301256
351.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
545001
635.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
260616
305.4 IPS |
|
|
Object Detection (SP)
|
100% |
18836
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24882
1.97 KIPS |
|
|
Object Detection (Q)
|
86% |
15633
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
55101
654.7 IPS |
|
|
Face Detection (HP)
|
100% |
70359
836.0 IPS |
|
|
Face Detection (Q)
|
97% |
46608
555.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
96539
743.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
154812
1.19 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69888
559.0 IPS |
|
|
Style Transfer (SP)
|
100% |
542543
697.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1086937
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
464952
599.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59374
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79871
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43674
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3628
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
4531
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2094
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5698
98.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2568
48.2 IPS |
