Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3235
Single Precision Score
3257
Half Precision Score
2069
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | nickmax |
| Upload Date | April 02 2025 06:06 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A (MS-7D25) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2885
536.5 IPS |
|
|
Image Classification (HP)
|
100% |
2830
526.4 IPS |
|
|
Image Classification (Q)
|
99% |
1650
307.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3903
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3913
63.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1553
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4156
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3984
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
5409
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (Q)
|
85% |
1559
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (Q)
|
97% |
3446
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3825
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3616
27.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2595
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4185
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4325
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
8141
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2888
106.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2324
86.1 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1742
2.32 KIPS |
|
|
Text Classification (Q)
|
92% |
587
788.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (Q)
|
58% |
673
15.8 IPS |
