Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
31007
Single Precision Score
55657
Half Precision Score
23864
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 07:36 AM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12124
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
21475
3.99 KIPS |
|
|
Image Classification (Q)
|
100% |
11035
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22810
369.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34797
564.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20979
341.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
174168
203.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
522277
609.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
149646
175.3 IPS |
|
|
Object Detection (SP)
|
100% |
16717
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
29381
2.33 KIPS |
|
|
Object Detection (Q)
|
83% |
14106
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
45440
539.9 IPS |
|
|
Face Detection (HP)
|
100% |
71071
844.5 IPS |
|
|
Face Detection (Q)
|
97% |
38297
456.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
73773
568.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
145416
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58063
463.4 IPS |
|
|
Style Transfer (SP)
|
100% |
242448
311.7 IPS |
|
|
Style Transfer (HP)
|
100% |
837766
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
206530
266.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44751
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84316
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35338
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4944
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6795
117.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6892
118.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3100
58.1 IPS |
