MacBook Pro (13-inch Mid 2020)
Geekbench ML Score
629
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 02 2025 11:56 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (13-inch Mid 2020) |
| Model ID | MacBookPro16,3 |
| Motherboard | Apple Inc. Mac-E7203C0F68AA0004 MacBookPro16,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8257U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | LPDDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
580
108.5 IPS |
|
|
Image Classification (F16)
|
100% |
490
91.7 IPS |
|
|
Image Classification (I8)
|
99% |
409
76.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
159
2.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
151
2.53 IPS |
|
|
Image Segmentation (I8)
|
100% |
152
2.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
5491
6.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
9174
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
9477
11.5 IPS |
|
|
Object Detection (F32)
|
100% |
516
38.5 IPS |
|
|
Object Detection (F16)
|
100% |
425
31.7 IPS |
|
|
Object Detection (I8)
|
97% |
333
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (F16)
|
99% |
1517
18.0 IPS |
|
|
Face Detection (I8)
|
99% |
1334
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
979
7.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
960
7.44 IPS |
|
|
Depth Estimation (I8)
|
99% |
939
7.28 IPS |
|
|
Style Transfer (F32)
|
100% |
1928
2.54 IPS |
|
|
Style Transfer (F16)
|
100% |
1906
2.51 IPS |
|
|
Style Transfer (I8)
|
100% |
1915
2.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
478
17.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
453
16.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
462
16.5 IPS |
|
|
Text Classification (F32)
|
100% |
134
192.5 IPS |
|
|
Text Classification (F16)
|
100% |
120
173.1 IPS |
|
|
Text Classification (I8)
|
96% |
88
127.0 IPS |
|
|
Machine Translation (F32)
|
100% |
318
5.86 IPS |
|
|
Machine Translation (F16)
|
100% |
258
4.75 IPS |
|
|
Machine Translation (I8)
|
99% |
317
5.84 IPS |
