Micro-Star International Co., Ltd. Prestige 15 A11SB
Geekbench ML Score
1235
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | Puffin |
| Upload Date | February 29 2024 07:30 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 23.10 |
| Model | Micro-Star International Co., Ltd. Prestige 15 A11SB |
| Motherboard | Micro-Star International Co., Ltd. MS-16S6 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 31.05 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
979
183.1 IPS |
|
|
Image Classification (F16)
|
100% |
972
181.9 IPS |
|
|
Image Classification (I8)
|
99% |
437
81.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1250
20.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
601
10.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1618
1.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
1614
1.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
1319
1.60 IPS |
|
|
Object Detection (F32)
|
100% |
1049
78.3 IPS |
|
|
Object Detection (F16)
|
100% |
1049
78.3 IPS |
|
|
Object Detection (I8)
|
65% |
621
46.4 IPS |
|
|
Face Detection (F32)
|
100% |
1991
23.7 IPS |
|
|
Face Detection (F16)
|
100% |
1990
23.7 IPS |
|
|
Face Detection (I8)
|
87% |
1331
15.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1841
14.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1836
14.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
1353
10.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2447
3.22 IPS |
|
|
Style Transfer (F16)
|
100% |
2430
3.20 IPS |
|
|
Style Transfer (I8)
|
98% |
2966
3.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1194
42.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1195
42.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
805
28.8 IPS |
|
|
Text Classification (F32)
|
100% |
1196
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1200
1.72 KIPS |
|
|
Text Classification (I8)
|
92% |
480
689.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1696
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1721
31.7 IPS |
|
|
Machine Translation (I8)
|
62% |
627
11.5 IPS |
