MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3516
Core ML CPU Inference Score
Geekbench ML 0.6.0 Pro for macOS AArch64
Result Information
| Upload Date | June 13 2025 08:10 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.20 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% |
1383
258.7 IPS |
|
|
Image Classification (F16)
|
100% |
2158
403.9 IPS |
|
|
Image Classification (I8)
|
99% |
2172
406.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
779
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6231
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
13315
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
13319
16.1 IPS |
|
|
Object Detection (F32)
|
100% |
1382
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
2073
154.7 IPS |
|
|
Object Detection (I8)
|
97% |
1391
103.8 IPS |
|
|
Face Detection (F32)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (F16)
|
97% |
5187
61.7 IPS |
|
|
Face Detection (I8)
|
97% |
5214
62.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5558
43.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
10385
80.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10102
78.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16466
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26275
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
26173
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3803
135.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4796
171.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4814
171.9 IPS |
|
|
Text Classification (F32)
|
100% |
2086
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3670
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3679
5.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1368
25.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1116
20.5 IPS |
