Micro-Star International Co., Ltd. MS-7D89
Geekbench AI Score
28336
Single Precision Score
42030
Half Precision Score
21513
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 01 2024 11:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D89 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 CARBON WIFI (MS-7D89) |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12000
2.23 KIPS |
|
|
Image Classification (HP)
|
99% |
16730
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
9811
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17604
285.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21859
354.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16158
262.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
183095
213.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
435354
508.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
166895
195.4 IPS |
|
|
Object Detection (SP)
|
100% |
14054
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
19924
1.58 KIPS |
|
|
Object Detection (Q)
|
89% |
11259
901.4 IPS |
|
|
Face Detection (SP)
|
100% |
35719
424.4 IPS |
|
|
Face Detection (HP)
|
100% |
46503
552.6 IPS |
|
|
Face Detection (Q)
|
97% |
28997
345.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
69467
535.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
121687
940.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
53268
429.1 IPS |
|
|
Style Transfer (SP)
|
100% |
329607
423.7 IPS |
|
|
Style Transfer (HP)
|
100% |
789769
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
292394
377.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47168
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59123
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35695
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4504
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4528
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2052
45.8 IPS |
