Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
22197
Single Precision Score
31933
Half Precision Score
13445
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 04:35 AM |
| Views | 2 |
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-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 ACE (MS-7C35) |
| Power Plan | Advanced SystemCare Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8592
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
11482
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
5563
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13907
225.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17772
288.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10408
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
167870
195.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
336714
392.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
127371
149.2 IPS |
|
|
Object Detection (SP)
|
100% |
11092
879.8 IPS |
|
|
Object Detection (HP)
|
100% |
15338
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
7131
570.9 IPS |
|
|
Face Detection (SP)
|
100% |
26474
314.6 IPS |
|
|
Face Detection (HP)
|
100% |
34973
415.6 IPS |
|
|
Face Detection (Q)
|
97% |
17461
208.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
55266
425.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
92869
715.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
32966
265.3 IPS |
|
|
Style Transfer (SP)
|
100% |
259049
333.0 IPS |
|
|
Style Transfer (HP)
|
100% |
579911
745.5 IPS |
|
|
Style Transfer (Q)
|
98% |
187636
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36452
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48832
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20656
764.9 IPS |
|
|
Text Classification (SP)
|
100% |
2567
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
3201
4.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1375
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1197
26.7 IPS |
