Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
22418
Single Precision Score
40908
Half Precision Score
17535
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 12:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 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% |
9677
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
16973
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8877
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14312
232.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19920
322.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13434
218.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
122579
143.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
384492
448.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
114586
134.2 IPS |
|
|
Object Detection (SP)
|
100% |
11827
938.1 IPS |
|
|
Object Detection (HP)
|
100% |
21010
1.67 KIPS |
|
|
Object Detection (Q)
|
83% |
10266
829.4 IPS |
|
|
Face Detection (SP)
|
100% |
28513
338.8 IPS |
|
|
Face Detection (HP)
|
100% |
45620
542.1 IPS |
|
|
Face Detection (Q)
|
97% |
24929
297.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
55203
425.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
114630
883.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
44480
355.0 IPS |
|
|
Style Transfer (SP)
|
100% |
172096
221.2 IPS |
|
|
Style Transfer (HP)
|
100% |
596864
767.3 IPS |
|
|
Style Transfer (Q)
|
98% |
150452
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34604
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67287
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26385
977.0 IPS |
|
|
Text Classification (SP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4889
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4355
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1871
35.1 IPS |
