Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
26614
Single Precision Score
40304
Half Precision Score
20886
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 01:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10964
2.04 KIPS |
|
|
Image Classification (HP)
|
99% |
16017
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
9686
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16732
271.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20935
339.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15368
249.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
160048
186.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
408876
477.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
147142
172.4 IPS |
|
|
Object Detection (SP)
|
100% |
12993
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
19807
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
11209
902.3 IPS |
|
|
Face Detection (SP)
|
100% |
35545
422.4 IPS |
|
|
Face Detection (HP)
|
100% |
45956
546.1 IPS |
|
|
Face Detection (Q)
|
97% |
31088
370.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
62079
478.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
113211
874.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
49509
395.8 IPS |
|
|
Style Transfer (SP)
|
100% |
285628
367.2 IPS |
|
|
Style Transfer (HP)
|
100% |
682547
877.4 IPS |
|
|
Style Transfer (Q)
|
98% |
255864
329.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46138
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58680
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33282
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4436
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4473
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4506
77.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2301
43.2 IPS |
