Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
24201
Single Precision Score
36844
Half Precision Score
21227
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 11:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| 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% |
11975
2.23 KIPS |
|
|
Image Classification (HP)
|
100% |
14992
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
11578
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11063
179.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13288
215.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14788
240.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
131996
154.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
433123
505.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
118911
139.3 IPS |
|
|
Object Detection (SP)
|
100% |
10668
846.2 IPS |
|
|
Object Detection (HP)
|
99% |
16008
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
10049
807.1 IPS |
|
|
Face Detection (SP)
|
100% |
30549
363.0 IPS |
|
|
Face Detection (HP)
|
100% |
42799
508.5 IPS |
|
|
Face Detection (Q)
|
97% |
26576
316.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68297
526.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95735
737.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
56137
450.2 IPS |
|
|
Style Transfer (SP)
|
100% |
242446
311.7 IPS |
|
|
Style Transfer (HP)
|
100% |
483819
622.0 IPS |
|
|
Style Transfer (Q)
|
98% |
208579
269.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39449
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71746
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32774
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4465
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2865
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4718
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5256
90.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3108
58.3 IPS |
