Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
32106
Single Precision Score
55117
Half Precision Score
24493
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 07:32 AM |
| Views | 7 |
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-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13826
2.57 KIPS |
|
|
Image Classification (HP)
|
100% |
20814
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
12078
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20788
337.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
28714
465.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19360
314.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
170681
199.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
659003
768.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
154531
181.0 IPS |
|
|
Object Detection (SP)
|
100% |
17034
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
28150
2.23 KIPS |
|
|
Object Detection (Q)
|
86% |
14287
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
48090
571.4 IPS |
|
|
Face Detection (HP)
|
100% |
67498
802.0 IPS |
|
|
Face Detection (Q)
|
97% |
39200
467.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
85436
658.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
145798
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63258
505.1 IPS |
|
|
Style Transfer (SP)
|
100% |
310240
398.8 IPS |
|
|
Style Transfer (HP)
|
100% |
991611
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
257822
332.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47466
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78962
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36000
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5181
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2380
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5822
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5846
100.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2748
51.5 IPS |
