Micro-Star International Co., Ltd. MS-7E33
Geekbench AI Score
26040
Single Precision Score
40974
Half Precision Score
20514
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | March 15 2025 02:49 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% |
9995
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
13332
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
8448
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17220
279.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22660
367.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15674
254.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
197000
229.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
542140
632.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
170202
199.4 IPS |
|
|
Object Detection (SP)
|
100% |
13044
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
19103
1.52 KIPS |
|
|
Object Detection (Q)
|
86% |
11890
955.2 IPS |
|
|
Face Detection (SP)
|
100% |
33790
401.5 IPS |
|
|
Face Detection (HP)
|
100% |
50119
595.5 IPS |
|
|
Face Detection (Q)
|
97% |
30697
366.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
76823
591.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
138159
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56902
454.4 IPS |
|
|
Style Transfer (SP)
|
100% |
291559
374.8 IPS |
|
|
Style Transfer (HP)
|
100% |
836477
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
257095
331.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41879
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59052
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31583
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2115
39.7 IPS |
