Micro-Star International Co., Ltd. MS-7D06
Geekbench AI Score
2323
Single Precision Score
2326
Half Precision Score
1488
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | otakugenx |
| Upload Date | November 05 2024 04:18 PM |
| Views | 3 |
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-7D06 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z590 GAMING CARBON WIFI (MS-7D06) |
| 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 | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (Q)
|
99% |
1063
198.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1048
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
2576
3.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2819
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (Q)
|
85% |
918
73.9 IPS |
|
|
Face Detection (SP)
|
100% |
2516
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
2378
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2451
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2458
18.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1962
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2663
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2659
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5289
6.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2125
78.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1494
55.3 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
739
992.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (Q)
|
58% |
680
16.0 IPS |
