Micro-Star International Co., Ltd. MS-7D30
Geekbench AI Score
14576
Single Precision Score
21782
Half Precision Score
9856
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 FORCE WIFI (MS-7D30) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6084
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
8488
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
4373
813.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6773
109.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8294
134.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5928
96.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
98955
115.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
253188
295.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
82560
96.7 IPS |
|
|
Object Detection (SP)
|
100% |
6871
545.0 IPS |
|
|
Object Detection (HP)
|
100% |
9474
751.4 IPS |
|
|
Object Detection (Q)
|
88% |
5145
412.6 IPS |
|
|
Face Detection (SP)
|
100% |
14046
166.9 IPS |
|
|
Face Detection (HP)
|
100% |
19319
229.6 IPS |
|
|
Face Detection (Q)
|
97% |
10823
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39906
307.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70826
545.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
26078
210.1 IPS |
|
|
Style Transfer (SP)
|
100% |
166385
213.9 IPS |
|
|
Style Transfer (HP)
|
100% |
361188
464.3 IPS |
|
|
Style Transfer (Q)
|
98% |
128370
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27631
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35778
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16687
617.9 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4052
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1479
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (Q)
|
60% |
879
19.6 IPS |
