Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
30460
Single Precision Score
42976
Half Precision Score
22235
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 01:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11403
2.12 KIPS |
|
|
Image Classification (HP)
|
99% |
15373
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
9787
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18951
307.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23268
377.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17416
283.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
251047
292.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
468077
546.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
220895
258.7 IPS |
|
|
Object Detection (SP)
|
100% |
14777
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
20273
1.61 KIPS |
|
|
Object Detection (Q)
|
89% |
12324
986.6 IPS |
|
|
Face Detection (SP)
|
100% |
40627
482.7 IPS |
|
|
Face Detection (HP)
|
100% |
50620
601.5 IPS |
|
|
Face Detection (Q)
|
97% |
34240
408.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
74755
575.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
131406
1.02 KIPS |
|
|
Depth Estimation (Q)
|
76% |
56816
457.7 IPS |
|
|
Style Transfer (SP)
|
100% |
381604
490.6 IPS |
|
|
Style Transfer (HP)
|
100% |
840136
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
336708
434.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49517
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64748
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37878
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3696
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2006
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4735
81.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1279
28.5 IPS |
