Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
2790
Single Precision Score
2803
Half Precision Score
1766
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | SiggiTron |
| Upload Date | August 10 2025 09:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-12900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2268
421.9 IPS |
|
|
Image Classification (HP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (Q)
|
99% |
1127
210.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2983
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3004
48.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1272
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3491
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3484
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
4260
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (Q)
|
85% |
1241
99.9 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
3021
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3299
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3302
25.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2501
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3844
4.94 IPS |
|
|
Style Transfer (Q)
|
98% |
7225
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1983
73.5 IPS |
|
|
Text Classification (SP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
541
726.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (Q)
|
58% |
668
15.7 IPS |
