Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
6008
Single Precision Score
9686
Half Precision Score
14433
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4194
779.9 IPS |
|
|
Image Classification (HP)
|
100% |
6357
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8305
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4371
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9563
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11934
193.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12057
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11074
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
36902
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
3810
302.2 IPS |
|
|
Object Detection (HP)
|
100% |
6201
491.8 IPS |
|
|
Object Detection (Q)
|
88% |
10290
824.6 IPS |
|
|
Face Detection (SP)
|
100% |
8852
105.2 IPS |
|
|
Face Detection (HP)
|
100% |
17036
202.4 IPS |
|
|
Face Detection (Q)
|
100% |
26799
318.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13247
102.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
23374
180.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26376
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30163
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41450
53.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85289
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9654
356.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15277
565.8 IPS |
|
|
Text Classification (SP)
|
71% |
1735
2.51 KIPS |
|
|
Text Classification (HP)
|
71% |
2712
3.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2833
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4032
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3997
69.1 IPS |
