Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
30522
Single Precision Score
45249
Half Precision Score
22699
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | lgearc12vr |
| Upload Date | September 26 2024 01:44 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE MAX (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% |
12327
2.29 KIPS |
|
|
Image Classification (HP)
|
99% |
17615
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
10336
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18893
306.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23150
375.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17136
278.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
188163
219.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
452323
527.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
169552
198.5 IPS |
|
|
Object Detection (SP)
|
100% |
14949
1.19 KIPS |
|
|
Object Detection (HP)
|
100% |
21926
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
11913
953.7 IPS |
|
|
Face Detection (SP)
|
100% |
38101
452.7 IPS |
|
|
Face Detection (HP)
|
100% |
49431
587.3 IPS |
|
|
Face Detection (Q)
|
97% |
31783
379.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
75898
584.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
130814
1.01 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56736
457.1 IPS |
|
|
Style Transfer (SP)
|
100% |
348615
448.1 IPS |
|
|
Style Transfer (HP)
|
100% |
824456
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
303826
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52653
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66565
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37237
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5080
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2299
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4962
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4936
85.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2165
48.3 IPS |
