Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
28261
Single Precision Score
50044
Half Precision Score
22082
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 05 2026 04:44 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% |
11383
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
19778
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10391
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18578
301.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26615
431.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17595
286.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
165083
192.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
480783
561.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
141177
165.4 IPS |
|
|
Object Detection (SP)
|
100% |
15245
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
26168
2.08 KIPS |
|
|
Object Detection (Q)
|
83% |
12978
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
39775
472.6 IPS |
|
|
Face Detection (HP)
|
100% |
60196
715.3 IPS |
|
|
Face Detection (Q)
|
97% |
34247
408.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
68487
527.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
137290
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54220
432.8 IPS |
|
|
Style Transfer (SP)
|
100% |
229906
295.5 IPS |
|
|
Style Transfer (HP)
|
100% |
787443
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
195544
252.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42528
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79356
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33530
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4136
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2473
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5545
95.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5710
98.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2734
51.3 IPS |
