Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
30475
Single Precision Score
48571
Half Precision Score
23780
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | March 13 2025 02:58 PM |
| Views | 17 |
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% |
12001
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
17256
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10675
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19859
321.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
25253
409.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18085
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
214825
250.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
597556
697.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
182620
213.9 IPS |
|
|
Object Detection (SP)
|
100% |
16028
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
22720
1.80 KIPS |
|
|
Object Detection (Q)
|
86% |
13958
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
43129
512.5 IPS |
|
|
Face Detection (HP)
|
100% |
59198
703.4 IPS |
|
|
Face Detection (Q)
|
97% |
36929
440.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
83488
643.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
152719
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62542
499.4 IPS |
|
|
Style Transfer (SP)
|
100% |
310830
399.6 IPS |
|
|
Style Transfer (HP)
|
100% |
972215
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
273259
352.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47671
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70730
2.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36427
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1996
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5039
86.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2561
48.0 IPS |
