Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
31578
Single Precision Score
49565
Half Precision Score
24702
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | June 16 2025 07:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E33 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z890I EDGE TI WIFI (MS-7E33) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12640
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
17243
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10855
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20921
339.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26339
427.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19373
315.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
229353
267.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
629861
734.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
193084
226.2 IPS |
|
|
Object Detection (SP)
|
100% |
16081
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
22579
1.79 KIPS |
|
|
Object Detection (Q)
|
86% |
13981
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
44428
527.9 IPS |
|
|
Face Detection (HP)
|
100% |
62744
745.5 IPS |
|
|
Face Detection (Q)
|
97% |
38798
462.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
84200
648.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
152572
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63728
508.9 IPS |
|
|
Style Transfer (SP)
|
100% |
335463
431.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1022878
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
287736
371.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49291
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68018
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37724
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2097
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2648
49.7 IPS |
