Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
5425
Single Precision Score
8498
Half Precision Score
12780
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 08:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3793
705.3 IPS |
|
|
Image Classification (HP)
|
100% |
5638
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7401
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3410
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7840
127.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11201
181.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12094
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11100
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
33771
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
5396
428.0 IPS |
|
|
Object Detection (Q)
|
88% |
8662
694.2 IPS |
|
|
Face Detection (SP)
|
100% |
7426
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
14834
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
23890
283.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12209
94.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
21122
163.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24859
193.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29161
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39713
51.1 IPS |
|
|
Style Transfer (Q)
|
98% |
82590
106.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9105
336.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14453
535.2 IPS |
|
|
Text Classification (SP)
|
71% |
1578
2.28 KIPS |
|
|
Text Classification (HP)
|
71% |
2456
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2523
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2668
46.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2681
46.2 IPS |
