Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
14660
Single Precision Score
31320
Half Precision Score
6591
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | superben_gg |
| Upload Date | August 17 2024 03:47 PM |
| Views | 5 |
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% |
11913
2.22 KIPS |
|
|
Image Classification (HP)
|
99% |
16492
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
10231
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19098
309.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23438
379.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17391
282.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
21859
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
115527
134.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
3947
4.62 IPS |
|
|
Object Detection (SP)
|
100% |
15345
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
21026
1.67 KIPS |
|
|
Object Detection (Q)
|
89% |
13150
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
5883
69.9 IPS |
|
|
Face Detection (Q)
|
97% |
329
3.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
72251
556.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
137495
1.06 KIPS |
|
|
Depth Estimation (Q)
|
70% |
52997
443.9 IPS |
|
|
Style Transfer (SP)
|
100% |
41530
53.4 IPS |
|
|
Style Transfer (HP)
|
100% |
838172
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
5552
7.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51828
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69380
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38834
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
3618
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4524
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4615
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2022
45.1 IPS |
