Micro-Star International Co., Ltd. MS-7E19
Geekbench AI Score
6997
Single Precision Score
2480
Half Precision Score
11419
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 12:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265KF |
| 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% |
5627
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (Q)
|
99% |
9396
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16695
271.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14266
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
46873
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.4 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
86% |
10887
874.9 IPS |
|
|
Face Detection (SP)
|
100% |
14845
176.4 IPS |
|
|
Face Detection (HP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
13443
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16147
124.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3633
28.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
25949
207.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30645
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20611
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26683
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3443
127.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7068
261.7 IPS |
|
|
Text Classification (SP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1653
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3156
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4332
87.0 IPS |
