Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
14655
Single Precision Score
29928
Half Precision Score
5761
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | superben_gg |
| Upload Date | August 17 2024 03:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11878
2.21 KIPS |
|
|
Image Classification (HP)
|
99% |
16662
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10206
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19110
309.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23429
379.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17653
287.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25048
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
91116
106.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
4067
4.76 IPS |
|
|
Object Detection (SP)
|
100% |
15310
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
21132
1.68 KIPS |
|
|
Object Detection (Q)
|
89% |
13189
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (Q)
|
97% |
310
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
71440
550.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
139543
1.08 KIPS |
|
|
Depth Estimation (Q)
|
70% |
14797
123.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41191
53.0 IPS |
|
|
Style Transfer (HP)
|
100% |
836369
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
5393
6.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52439
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69003
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38740
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3602
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2206
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4662
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4518
77.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1974
44.0 IPS |
