Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
18272
Single Precision Score
29521
Half Precision Score
14704
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 01:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balansirano |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6861
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
9843
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
6434
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11207
181.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14253
231.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10558
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
113516
132.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
301450
351.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
106585
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
8244
653.9 IPS |
|
|
Object Detection (HP)
|
100% |
11949
947.8 IPS |
|
|
Object Detection (Q)
|
83% |
7389
597.0 IPS |
|
|
Face Detection (SP)
|
100% |
17807
211.6 IPS |
|
|
Face Detection (HP)
|
100% |
23254
276.3 IPS |
|
|
Face Detection (Q)
|
97% |
16345
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
48170
371.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88299
680.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
39553
315.7 IPS |
|
|
Style Transfer (SP)
|
100% |
161569
207.7 IPS |
|
|
Style Transfer (HP)
|
100% |
468681
602.5 IPS |
|
|
Style Transfer (Q)
|
98% |
141653
182.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32854
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59518
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24820
919.1 IPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4448
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1709
32.1 IPS |
