Micro-Star International Co., Ltd. MS-7B87
Geekbench AI Score
18857
Single Precision Score
29034
Half Precision Score
12550
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 01:57 PM |
| Views | 2 |
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-7B87 |
| Motherboard | Micro-Star International Co., Ltd. B450M GAMING PLUS (MS-7B87) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7312
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
10985
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
5343
993.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
12101
196.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16411
266.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9638
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
115429
134.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
300868
351.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
93910
110.0 IPS |
|
|
Object Detection (SP)
|
100% |
9526
755.6 IPS |
|
|
Object Detection (HP)
|
100% |
14253
1.13 KIPS |
|
|
Object Detection (Q)
|
85% |
7050
567.5 IPS |
|
|
Face Detection (SP)
|
100% |
23169
275.3 IPS |
|
|
Face Detection (HP)
|
100% |
33431
397.2 IPS |
|
|
Face Detection (Q)
|
97% |
17796
212.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47395
365.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86247
664.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31209
250.0 IPS |
|
|
Style Transfer (SP)
|
100% |
184691
237.4 IPS |
|
|
Style Transfer (HP)
|
100% |
439637
565.2 IPS |
|
|
Style Transfer (Q)
|
98% |
144192
185.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32458
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39520
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18755
694.5 IPS |
|
|
Text Classification (SP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
3152
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1325
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1429
26.8 IPS |
