Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6697
Single Precision Score
2452
Half Precision Score
10282
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 08:55 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-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
5170
961.5 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.2 IPS |
|
|
Image Classification (Q)
|
99% |
9854
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4314
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14051
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8224
9.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
45881
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
4996
396.3 IPS |
|
|
Object Detection (HP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
86% |
11248
904.0 IPS |
|
|
Face Detection (SP)
|
100% |
13372
158.9 IPS |
|
|
Face Detection (HP)
|
100% |
2551
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
13098
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15655
120.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3513
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23502
187.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31480
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19579
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32597
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3569
131.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6844
253.4 IPS |
|
|
Text Classification (SP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1927
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4550
91.4 IPS |
