MacBook Pro (13-inch Late 2020)
Geekbench ML Score
2005
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 13 2025 10:34 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
844
158.0 IPS |
|
|
Image Classification (F16)
|
100% |
1062
198.8 IPS |
|
|
Image Classification (I8)
|
99% |
1062
198.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
477
7.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
456
7.62 IPS |
|
|
Image Segmentation (I8)
|
100% |
456
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
3689
4.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
8542
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8526
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
875
65.3 IPS |
|
|
Object Detection (F16)
|
100% |
1128
84.2 IPS |
|
|
Object Detection (I8)
|
97% |
881
65.8 IPS |
|
|
Face Detection (F32)
|
100% |
1715
20.4 IPS |
|
|
Face Detection (F16)
|
97% |
2580
30.7 IPS |
|
|
Face Detection (I8)
|
97% |
2563
30.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3391
26.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5132
39.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
5220
40.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10253
13.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15894
20.9 IPS |
|
|
Style Transfer (I8)
|
100% |
15800
20.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2342
83.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3138
112.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3042
108.6 IPS |
|
|
Text Classification (F32)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2265
3.26 KIPS |
|
|
Text Classification (I8)
|
96% |
2240
3.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
480
8.84 IPS |
|
|
Machine Translation (F16)
|
100% |
545
10.0 IPS |
|
|
Machine Translation (I8)
|
99% |
478
8.79 IPS |
