Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
35051
Single Precision Score
50864
Half Precision Score
26860
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | metadex |
| Upload Date | April 20 2025 02:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13771
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
19355
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
11818
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22936
371.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29638
480.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21122
343.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
260818
304.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
491166
573.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
231962
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
16731
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
23225
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
14227
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
48855
580.5 IPS |
|
|
Face Detection (HP)
|
100% |
63692
756.8 IPS |
|
|
Face Detection (Q)
|
97% |
42065
501.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82758
637.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
155521
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63636
508.2 IPS |
|
|
Style Transfer (SP)
|
100% |
404030
519.4 IPS |
|
|
Style Transfer (HP)
|
100% |
899711
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
346482
446.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57020
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77360
2.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43002
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4531
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2271
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5774
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5671
97.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2620
49.1 IPS |
