Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
23118
Single Precision Score
40614
Half Precision Score
17556
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Shaiider69 |
| Upload Date | December 17 2025 03:59 PM |
| Views | 12 |
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-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9519
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
16556
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8534
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17050
276.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25108
407.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15375
250.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
121122
141.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
391123
456.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
115324
135.1 IPS |
|
|
Object Detection (SP)
|
100% |
11566
917.4 IPS |
|
|
Object Detection (HP)
|
100% |
19929
1.58 KIPS |
|
|
Object Detection (Q)
|
83% |
9994
807.5 IPS |
|
|
Face Detection (SP)
|
100% |
30041
357.0 IPS |
|
|
Face Detection (HP)
|
100% |
47613
565.7 IPS |
|
|
Face Detection (Q)
|
97% |
26467
315.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55246
425.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
115819
892.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
44350
354.0 IPS |
|
|
Style Transfer (SP)
|
100% |
176193
226.5 IPS |
|
|
Style Transfer (HP)
|
100% |
595785
765.9 IPS |
|
|
Style Transfer (Q)
|
98% |
152976
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33559
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52393
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23238
860.5 IPS |
|
|
Text Classification (SP)
|
100% |
3623
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4412
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2225
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5396
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1981
37.2 IPS |
