Micro-Star International Co., Ltd. MS-7E17
Geekbench AI Score
6092
Single Precision Score
2275
Half Precision Score
10312
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 03 2025 07:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E17 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890 CARBON WIFI (MS-7E17) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5523
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
767
142.7 IPS |
|
|
Image Classification (Q)
|
99% |
9401
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14696
239.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13103
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7000
8.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
36384
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
3852
305.5 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
86% |
9715
780.8 IPS |
|
|
Face Detection (SP)
|
100% |
13511
160.5 IPS |
|
|
Face Detection (HP)
|
100% |
1998
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
12743
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12736
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2731
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
21242
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29586
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19344
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24649
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6834
253.0 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1635
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3736
75.1 IPS |
