Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
26649
Single Precision Score
40317
Half Precision Score
21718
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 11:33 AM |
| Views | 6 |
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% |
12647
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
15304
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
11643
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16702
270.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20252
328.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15630
254.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
134872
157.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
438672
511.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
115926
135.8 IPS |
|
|
Object Detection (SP)
|
100% |
11105
880.9 IPS |
|
|
Object Detection (HP)
|
99% |
17018
1.35 KIPS |
|
|
Object Detection (Q)
|
87% |
10126
813.3 IPS |
|
|
Face Detection (SP)
|
100% |
30806
366.0 IPS |
|
|
Face Detection (HP)
|
100% |
43048
511.5 IPS |
|
|
Face Detection (Q)
|
97% |
26955
321.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
68898
530.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97688
752.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
55874
448.1 IPS |
|
|
Style Transfer (SP)
|
100% |
249565
320.8 IPS |
|
|
Style Transfer (HP)
|
100% |
499393
642.0 IPS |
|
|
Style Transfer (Q)
|
98% |
211378
272.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42462
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82097
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33343
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4599
6.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5119
6.83 KIPS |
|
|
Text Classification (Q)
|
97% |
3091
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5520
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3332
62.5 IPS |
