MacBook Pro (13-inch Mid 2020)
Geekbench ML Score
492
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 15 2024 06:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,2 |
| Motherboard | Apple Inc. Mac-5F9802EFE386AA28 MacBookPro16,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1038NG7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 3733 MT/s |
| Type | LPDDR4X |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
278
52.1 IPS |
|
|
Image Classification (F16)
|
100% |
219
41.0 IPS |
|
|
Image Classification (I8)
|
99% |
211
39.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
221
3.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
169
2.82 IPS |
|
|
Image Segmentation (I8)
|
100% |
167
2.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
1853
2.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
1242
1.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
1298
1.57 IPS |
|
|
Object Detection (F32)
|
100% |
260
19.4 IPS |
|
|
Object Detection (F16)
|
100% |
200
14.9 IPS |
|
|
Object Detection (I8)
|
97% |
264
19.7 IPS |
|
|
Face Detection (F32)
|
100% |
757
9.00 IPS |
|
|
Face Detection (F16)
|
98% |
614
7.30 IPS |
|
|
Face Detection (I8)
|
97% |
486
5.78 IPS |
|
|
Depth Estimation (F32)
|
100% |
746
5.78 IPS |
|
|
Depth Estimation (F16)
|
100% |
626
4.86 IPS |
|
|
Depth Estimation (I8)
|
99% |
770
5.97 IPS |
|
|
Style Transfer (F32)
|
100% |
2631
3.46 IPS |
|
|
Style Transfer (F16)
|
100% |
2407
3.17 IPS |
|
|
Style Transfer (I8)
|
100% |
2421
3.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1046
37.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
832
29.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
776
27.7 IPS |
|
|
Text Classification (F32)
|
100% |
326
468.7 IPS |
|
|
Text Classification (F16)
|
100% |
192
275.7 IPS |
|
|
Text Classification (I8)
|
96% |
197
283.1 IPS |
|
|
Machine Translation (F32)
|
100% |
200
3.69 IPS |
|
|
Machine Translation (F16)
|
100% |
313
5.77 IPS |
|
|
Machine Translation (I8)
|
99% |
285
5.25 IPS |
