Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
32146
Single Precision Score
46935
Half Precision Score
24723
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:51 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12598
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
17672
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10740
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19292
312.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23845
386.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17743
288.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
248885
290.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
489312
570.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
225268
263.8 IPS |
|
|
Object Detection (SP)
|
100% |
15836
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
22167
1.76 KIPS |
|
|
Object Detection (Q)
|
89% |
13809
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
40074
476.2 IPS |
|
|
Face Detection (HP)
|
100% |
50498
600.0 IPS |
|
|
Face Detection (Q)
|
97% |
34251
408.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
74338
572.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
138818
1.07 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57711
465.4 IPS |
|
|
Style Transfer (SP)
|
100% |
378881
487.1 IPS |
|
|
Style Transfer (HP)
|
100% |
869132
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
342764
442.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54682
2.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74891
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41556
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5121
6.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2376
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2152
48.0 IPS |
