MacBook Pro (13-inch Late 2020)
Geekbench ML Score
2488
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 12:14 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 3.09 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% |
1197
224.0 IPS |
|
|
Image Classification (F16)
|
100% |
1541
288.3 IPS |
|
|
Image Classification (I8)
|
99% |
1496
280.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
470
7.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
453
7.56 IPS |
|
|
Image Segmentation (I8)
|
100% |
547
9.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
5375
6.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
12516
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
12526
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1193
89.0 IPS |
|
|
Object Detection (F16)
|
100% |
1401
104.6 IPS |
|
|
Object Detection (I8)
|
97% |
1222
91.2 IPS |
|
|
Face Detection (F32)
|
100% |
2052
24.4 IPS |
|
|
Face Detection (F16)
|
97% |
3062
36.4 IPS |
|
|
Face Detection (I8)
|
97% |
3387
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4625
35.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7359
57.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
4988
38.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8246
10.8 IPS |
|
|
Style Transfer (F16)
|
100% |
20599
27.1 IPS |
|
|
Style Transfer (I8)
|
100% |
20505
27.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1651
59.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2508
89.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4107
146.7 IPS |
|
|
Text Classification (F32)
|
100% |
1866
2.68 KIPS |
|
|
Text Classification (F16)
|
100% |
2996
4.31 KIPS |
|
|
Text Classification (I8)
|
96% |
2981
4.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
625
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
743
13.7 IPS |
|
|
Machine Translation (I8)
|
99% |
828
15.2 IPS |
