Micro-Star International Co., Ltd. MS-7E81
Geekbench AI Score
34720
Single Precision Score
60702
Half Precision Score
26304
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 16 2025 07:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E81 |
| Motherboard | Micro-Star International Co., Ltd. B850M GAMING PLUS WIFI6E (MS-7E81) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14251
2.65 KIPS |
|
|
Image Classification (HP)
|
100% |
21962
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
12600
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25407
411.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
36888
598.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22947
373.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
179866
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
729484
851.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
161945
189.7 IPS |
|
|
Object Detection (SP)
|
100% |
18377
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
30548
2.42 KIPS |
|
|
Object Detection (Q)
|
86% |
15489
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
54076
642.5 IPS |
|
|
Face Detection (HP)
|
100% |
79310
942.4 IPS |
|
|
Face Detection (Q)
|
97% |
43904
523.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
88423
681.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
156872
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66334
529.7 IPS |
|
|
Style Transfer (SP)
|
100% |
324884
417.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1039624
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
269663
347.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49645
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82539
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37766
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5037
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2419
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
7025
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6997
120.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3048
57.2 IPS |
