Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
27517
Single Precision Score
47705
Half Precision Score
21647
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2026 12:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11477
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
19811
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10547
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16057
260.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21210
343.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14837
241.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
167878
195.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
488581
570.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
144490
169.2 IPS |
|
|
Object Detection (SP)
|
100% |
15244
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
25174
2.00 KIPS |
|
|
Object Detection (Q)
|
83% |
12897
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
38391
456.2 IPS |
|
|
Face Detection (HP)
|
100% |
56099
666.6 IPS |
|
|
Face Detection (Q)
|
97% |
32863
391.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
71030
547.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
139857
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55763
445.1 IPS |
|
|
Style Transfer (SP)
|
100% |
234514
301.5 IPS |
|
|
Style Transfer (HP)
|
100% |
801363
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
199857
257.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42959
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78296
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34203
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2478
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4729
81.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2497
46.8 IPS |
