Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
29856
Single Precision Score
44524
Half Precision Score
22893
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 01:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI DDR4 (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12566
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
18438
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
10911
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22651
367.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30015
486.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20099
326.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
183766
214.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
461871
538.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
168796
197.8 IPS |
|
|
Object Detection (SP)
|
100% |
15093
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
21243
1.68 KIPS |
|
|
Object Detection (Q)
|
85% |
11934
960.0 IPS |
|
|
Face Detection (SP)
|
100% |
39753
472.3 IPS |
|
|
Face Detection (HP)
|
100% |
54574
648.5 IPS |
|
|
Face Detection (Q)
|
97% |
33977
405.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68142
525.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
113127
874.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
53301
426.1 IPS |
|
|
Style Transfer (SP)
|
100% |
301621
387.7 IPS |
|
|
Style Transfer (HP)
|
100% |
686947
883.1 IPS |
|
|
Style Transfer (Q)
|
98% |
263421
339.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46936
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59234
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34321
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
4167
5.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2106
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5435
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2596
48.7 IPS |
