Micro-Star International Co., Ltd. MS-7D41
Geekbench AI Score
2880
Single Precision Score
2821
Half Precision Score
2060
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | JeyKul |
| Upload Date | January 12 2026 06:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7D41 |
| Motherboard | Micro-Star International Co., Ltd. MAG B660 TOMAHAWK WIFI (MS-7D41) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
2146
399.1 IPS |
|
|
Image Classification (Q)
|
99% |
1550
289.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3298
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1388
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3418
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3296
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4533
5.31 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
2240
177.7 IPS |
|
|
Object Detection (Q)
|
85% |
1617
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (Q)
|
97% |
3265
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3350
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3374
26.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2721
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3774
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3754
4.83 IPS |
|
|
Style Transfer (Q)
|
98% |
7460
9.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2166
80.3 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1593
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (Q)
|
58% |
717
16.8 IPS |
