Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
31722
Single Precision Score
44874
Half Precision Score
24295
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Sylex |
| Upload Date | October 22 2024 03:57 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Alto rendimiento |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12099
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
16394
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
10351
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19262
312.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22836
370.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17449
283.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
268188
312.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
501842
585.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
234273
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
15160
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
20685
1.64 KIPS |
|
|
Object Detection (Q)
|
89% |
12354
989.1 IPS |
|
|
Face Detection (SP)
|
100% |
41042
487.7 IPS |
|
|
Face Detection (HP)
|
100% |
49903
593.0 IPS |
|
|
Face Detection (Q)
|
97% |
34580
412.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
78273
603.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
141620
1.09 KIPS |
|
|
Depth Estimation (Q)
|
76% |
58900
474.5 IPS |
|
|
Style Transfer (SP)
|
100% |
406557
522.6 IPS |
|
|
Style Transfer (HP)
|
100% |
860441
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
359334
463.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53269
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69322
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41074
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4212
5.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2148
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4799
82.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2123
47.3 IPS |
