Micro-Star International Co., Ltd. MS-7D19
Geekbench AI Score
18269
Single Precision Score
27383
Half Precision Score
12362
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | LithoChasm |
| Upload Date | March 07 2025 06:55 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D19 |
| Motherboard | Micro-Star International Co., Ltd. MPG B560I GAMING EDGE WIFI (MS-7D19) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7155
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10475
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
5325
990.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10516
170.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13774
223.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8725
141.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
116016
135.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
290602
339.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
93467
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
9616
762.8 IPS |
|
|
Object Detection (HP)
|
100% |
13923
1.10 KIPS |
|
|
Object Detection (Q)
|
85% |
7176
577.7 IPS |
|
|
Face Detection (SP)
|
100% |
21778
258.8 IPS |
|
|
Face Detection (HP)
|
100% |
29679
352.7 IPS |
|
|
Face Detection (Q)
|
97% |
16856
201.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49869
384.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83142
640.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
32378
259.3 IPS |
|
|
Style Transfer (SP)
|
100% |
183112
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
432440
555.9 IPS |
|
|
Style Transfer (Q)
|
98% |
143653
185.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32583
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40690
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18886
699.3 IPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3154
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1347
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2960
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1342
25.2 IPS |
