Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
32438
Single Precision Score
55305
Half Precision Score
24637
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:25 AM |
| Views | 5 |
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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13878
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
21074
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12191
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20974
340.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
29112
471.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19527
317.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
171572
200.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
654834
764.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
155053
181.6 IPS |
|
|
Object Detection (SP)
|
100% |
17542
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
28617
2.27 KIPS |
|
|
Object Detection (Q)
|
86% |
14187
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
48625
577.8 IPS |
|
|
Face Detection (HP)
|
100% |
67827
805.9 IPS |
|
|
Face Detection (Q)
|
97% |
39918
476.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84759
653.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
141415
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62012
495.2 IPS |
|
|
Style Transfer (SP)
|
100% |
314171
403.9 IPS |
|
|
Style Transfer (HP)
|
100% |
994107
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
260020
335.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47384
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79907
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36610
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5185
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2397
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5862
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5894
101.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2786
52.2 IPS |
