Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
27973
Single Precision Score
48134
Half Precision Score
21862
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 09:14 AM |
| Views | 4 |
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 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10867
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
17977
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9833
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18993
307.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27532
446.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17875
290.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
169644
197.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
481353
561.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
145873
170.9 IPS |
|
|
Object Detection (SP)
|
100% |
15456
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
25783
2.05 KIPS |
|
|
Object Detection (Q)
|
83% |
12862
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
40617
482.6 IPS |
|
|
Face Detection (HP)
|
100% |
59830
710.9 IPS |
|
|
Face Detection (Q)
|
97% |
34590
412.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
70998
547.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
130658
1.01 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55764
445.1 IPS |
|
|
Style Transfer (SP)
|
100% |
234655
301.7 IPS |
|
|
Style Transfer (HP)
|
100% |
783927
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
201502
259.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41464
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74600
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32986
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4132
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5550
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5754
99.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2647
49.6 IPS |
