Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
26856
Single Precision Score
40259
Half Precision Score
20681
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9651
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
14792
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
8665
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20402
330.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27300
442.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18254
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
148862
173.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
350877
409.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
133647
156.6 IPS |
|
|
Object Detection (SP)
|
100% |
12885
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
20475
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
10983
884.1 IPS |
|
|
Face Detection (SP)
|
100% |
36482
433.5 IPS |
|
|
Face Detection (HP)
|
100% |
51780
615.3 IPS |
|
|
Face Detection (Q)
|
97% |
31106
370.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63746
491.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104053
801.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
50206
400.9 IPS |
|
|
Style Transfer (SP)
|
100% |
259969
334.2 IPS |
|
|
Style Transfer (HP)
|
100% |
561421
721.7 IPS |
|
|
Style Transfer (Q)
|
98% |
232561
299.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44088
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53638
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31795
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
4229
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5607
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2514
47.1 IPS |
