Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7996
Single Precision Score
9065
Half Precision Score
13468
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Galleywest59 |
| Upload Date | April 07 2025 07:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | High performance |
| 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% |
4928
916.4 IPS |
|
|
Image Classification (HP)
|
100% |
6190
1.15 KIPS |
|
|
Image Classification (Q)
|
56% |
6047
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7508
121.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3863
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11658
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32280
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72145
84.5 IPS |
|
|
Object Detection (SP)
|
100% |
4664
369.9 IPS |
|
|
Object Detection (HP)
|
100% |
5766
457.3 IPS |
|
|
Object Detection (Q)
|
87% |
9597
770.2 IPS |
|
|
Face Detection (SP)
|
100% |
13800
164.0 IPS |
|
|
Face Detection (HP)
|
100% |
15272
181.5 IPS |
|
|
Face Detection (Q)
|
100% |
26743
317.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13183
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16480
127.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
31758
247.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34938
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48224
62.0 IPS |
|
|
Style Transfer (Q)
|
98% |
89658
115.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6393
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13102
483.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22141
820.0 IPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1813
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3968
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3974
68.5 IPS |
