Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
30085
Single Precision Score
41167
Half Precision Score
23088
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 12:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| Power Plan | 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 | 3.98 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11391
2.12 KIPS |
|
|
Image Classification (HP)
|
99% |
15898
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
9972
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21905
355.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28682
465.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19492
316.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
188872
220.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
454371
530.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
169114
198.1 IPS |
|
|
Object Detection (SP)
|
100% |
14929
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
22276
1.77 KIPS |
|
|
Object Detection (Q)
|
85% |
12500
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
43573
517.7 IPS |
|
|
Face Detection (HP)
|
100% |
58432
694.3 IPS |
|
|
Face Detection (Q)
|
97% |
37295
444.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
71676
552.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
124968
965.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
55395
442.9 IPS |
|
|
Style Transfer (SP)
|
100% |
336390
432.4 IPS |
|
|
Style Transfer (HP)
|
100% |
781996
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
296530
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46660
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57908
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33990
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3679
4.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1905
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5705
98.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2641
49.5 IPS |
