Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
23422
Single Precision Score
34550
Half Precision Score
14088
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 08:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8716
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
12227
2.28 KIPS |
|
|
Image Classification (Q)
|
100% |
5819
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14861
240.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19727
319.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11053
179.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
164666
192.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
345559
403.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
124398
145.7 IPS |
|
|
Object Detection (SP)
|
100% |
11821
937.6 IPS |
|
|
Object Detection (HP)
|
100% |
16379
1.30 KIPS |
|
|
Object Detection (Q)
|
89% |
7542
603.8 IPS |
|
|
Face Detection (SP)
|
100% |
29287
348.0 IPS |
|
|
Face Detection (HP)
|
100% |
39482
469.1 IPS |
|
|
Face Detection (Q)
|
97% |
19283
229.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
57560
443.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101590
782.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
34525
278.3 IPS |
|
|
Style Transfer (SP)
|
100% |
267390
343.7 IPS |
|
|
Style Transfer (HP)
|
100% |
611936
786.7 IPS |
|
|
Style Transfer (Q)
|
98% |
189175
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37616
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50576
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21693
803.3 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3860
66.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1269
28.3 IPS |
