Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
10113
Single Precision Score
11043
Half Precision Score
17720
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 07:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E19 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 EDGE TI WIFI (MS-7E19) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6420
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7289
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
11101
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8775
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5100
82.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13417
217.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15733
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16221
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33986
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
6466
512.9 IPS |
|
|
Object Detection (HP)
|
100% |
8079
640.8 IPS |
|
|
Object Detection (Q)
|
88% |
12191
977.3 IPS |
|
|
Face Detection (SP)
|
100% |
17355
206.2 IPS |
|
|
Face Detection (HP)
|
100% |
22078
262.3 IPS |
|
|
Face Detection (Q)
|
100% |
30855
366.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15631
120.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19120
147.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
34118
265.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43872
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45563
58.6 IPS |
|
|
Style Transfer (Q)
|
98% |
97069
125.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9407
347.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10027
370.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18468
683.9 IPS |
|
|
Text Classification (SP)
|
100% |
4136
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (Q)
|
92% |
6213
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8322
143.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4219
72.7 IPS |
