MSI RTX 4090 GPU Test Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
35176
Single Precision Score
46785
Half Precision Score
26910
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Trancer66 |
| Upload Date | March 19 2025 09:56 PM |
| Views | 14 |
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-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12579
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
16082
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
10797
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22945
372.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28365
459.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20974
341.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
300005
350.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
501692
585.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
259316
303.8 IPS |
|
|
Object Detection (SP)
|
100% |
16986
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
21237
1.68 KIPS |
|
|
Object Detection (Q)
|
86% |
14313
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
46688
554.8 IPS |
|
|
Face Detection (HP)
|
100% |
56559
672.0 IPS |
|
|
Face Detection (Q)
|
97% |
39981
476.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
93158
717.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
146214
1.13 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68167
545.2 IPS |
|
|
Style Transfer (SP)
|
100% |
526386
676.7 IPS |
|
|
Style Transfer (HP)
|
100% |
972446
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
451570
582.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53790
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69006
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40526
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5004
86.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2464
46.2 IPS |
