Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
19052
Single Precision Score
32043
Half Precision Score
15038
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 10:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265F |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7579
1.41 KIPS |
|
|
Image Classification (HP)
|
99% |
13027
2.43 KIPS |
|
|
Image Classification (Q)
|
99% |
6870
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13686
221.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19021
308.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12435
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
91510
106.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
261225
304.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
82215
96.3 IPS |
|
|
Object Detection (SP)
|
100% |
9437
748.5 IPS |
|
|
Object Detection (HP)
|
100% |
16698
1.32 KIPS |
|
|
Object Detection (Q)
|
84% |
8431
680.0 IPS |
|
|
Face Detection (SP)
|
100% |
23059
274.0 IPS |
|
|
Face Detection (HP)
|
100% |
37586
446.6 IPS |
|
|
Face Detection (Q)
|
97% |
20602
245.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45140
347.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87312
672.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37238
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
148921
191.4 IPS |
|
|
Style Transfer (HP)
|
100% |
367339
472.2 IPS |
|
|
Style Transfer (Q)
|
98% |
132933
171.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30525
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47779
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22914
848.5 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2064
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2072
38.9 IPS |
