Micro-Star International Co., Ltd. MS-7D09
Geekbench AI Score
2348
Single Precision Score
2351
Half Precision Score
1506
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | mbu30 |
| Upload Date | November 14 2025 11:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro-Star International Co., Ltd. MS-7D09 |
| Motherboard | Micro-Star International Co., Ltd. Z590-A PRO (MS-7D09) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (Q)
|
99% |
1085
202.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2236
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2605
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2601
3.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
2822
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (Q)
|
85% |
927
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
2400
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2470
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2482
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1994
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2686
3.45 IPS |
|
|
Style Transfer (HP)
|
100% |
2685
3.45 IPS |
|
|
Style Transfer (Q)
|
98% |
5343
6.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1502
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (Q)
|
58% |
682
16.0 IPS |
