Micro-Star International Co., Ltd. MS-7B78
Geekbench AI Score
6489
Single Precision Score
6494
Half Precision Score
8654
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | level555 |
| Upload Date | April 22 2025 12:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B78 |
| Motherboard | Micro-Star International Co., Ltd. X470 GAMING PRO CARBON (MS-7B78) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3898
725.0 IPS |
|
|
Image Classification (HP)
|
100% |
3898
725.0 IPS |
|
|
Image Classification (Q)
|
100% |
5505
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4691
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4755
77.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6816
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7669
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
7649
8.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
15161
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3912
310.3 IPS |
|
|
Object Detection (HP)
|
100% |
3887
308.4 IPS |
|
|
Object Detection (Q)
|
87% |
5821
466.9 IPS |
|
|
Face Detection (SP)
|
100% |
12298
146.1 IPS |
|
|
Face Detection (HP)
|
100% |
12323
146.4 IPS |
|
|
Face Detection (Q)
|
97% |
17209
205.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9979
76.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9824
75.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
16580
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22370
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43150
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4691
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4708
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8463
313.5 IPS |
|
|
Text Classification (SP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (Q)
|
91% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5667
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5603
96.5 IPS |
