Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7174
Single Precision Score
2602
Half Precision Score
10569
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 11:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5860
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
880
163.7 IPS |
|
|
Image Classification (Q)
|
99% |
10256
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4170
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16392
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8529
9.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
53450
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
5165
409.7 IPS |
|
|
Object Detection (HP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (Q)
|
86% |
11994
964.0 IPS |
|
|
Face Detection (SP)
|
100% |
13502
160.4 IPS |
|
|
Face Detection (HP)
|
100% |
2587
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
13976
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17285
133.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3626
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
24731
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35789
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21623
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28655
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3874
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7352
272.2 IPS |
|
|
Text Classification (SP)
|
100% |
2038
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1876
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4645
93.3 IPS |
