Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
27306
Single Precision Score
40841
Half Precision Score
21432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Bigguswiggus |
| Upload Date | January 09 2025 12:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| 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% |
11139
2.07 KIPS |
|
|
Image Classification (HP)
|
99% |
16022
2.99 KIPS |
|
|
Image Classification (Q)
|
100% |
9802
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17860
289.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22083
358.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16312
265.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
170709
199.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
429608
501.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
153871
180.3 IPS |
|
|
Object Detection (SP)
|
100% |
13045
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
19618
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
11265
906.9 IPS |
|
|
Face Detection (SP)
|
100% |
37145
441.4 IPS |
|
|
Face Detection (HP)
|
100% |
48958
581.7 IPS |
|
|
Face Detection (Q)
|
97% |
32124
383.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
66302
510.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
117218
905.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
52425
419.1 IPS |
|
|
Style Transfer (SP)
|
100% |
300950
386.9 IPS |
|
|
Style Transfer (HP)
|
100% |
711137
914.2 IPS |
|
|
Style Transfer (Q)
|
98% |
266882
344.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47698
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59346
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34451
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2033
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2344
44.0 IPS |
