Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7456
Single Precision Score
2467
Half Precision Score
10814
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:59 AM |
| Views | 2 |
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% |
5813
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
869
161.7 IPS |
|
|
Image Classification (Q)
|
99% |
10063
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1596
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4890
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15803
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8533
9.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
51979
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
5456
432.7 IPS |
|
|
Object Detection (HP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (Q)
|
86% |
11807
948.9 IPS |
|
|
Face Detection (SP)
|
100% |
14692
174.6 IPS |
|
|
Face Detection (HP)
|
100% |
2168
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
14279
170.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17128
132.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3626
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25462
203.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35998
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31182
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3745
138.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7165
265.3 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1915
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4658
93.6 IPS |
