MacBook Pro (13-inch Late 2020)
Geekbench ML Score
6218
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 08 2023 02:47 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1803
337.4 IPS |
|
|
Image Classification (F16)
|
100% |
5777
1.08 KIPS |
|
|
Image Classification (I8)
|
99% |
6143
1.15 KIPS |
|
|
Image Segmentation (F32)
|
100% |
835
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
828
13.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
822
13.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16027
19.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
63258
76.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
63076
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
1488
111.1 IPS |
|
|
Object Detection (F16)
|
100% |
3993
298.1 IPS |
|
|
Object Detection (I8)
|
97% |
1447
108.0 IPS |
|
|
Face Detection (F32)
|
100% |
5983
71.1 IPS |
|
|
Face Detection (F16)
|
97% |
12185
144.9 IPS |
|
|
Face Detection (I8)
|
96% |
12146
144.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11835
91.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
40197
311.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
40776
316.2 IPS |
|
|
Style Transfer (F32)
|
100% |
28714
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
115833
152.4 IPS |
|
|
Style Transfer (I8)
|
100% |
118635
156.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6288
224.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17842
637.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17799
635.7 IPS |
|
|
Text Classification (F32)
|
100% |
611
877.6 IPS |
|
|
Text Classification (F16)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (I8)
|
96% |
2119
3.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
697
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1932
35.6 IPS |
|
|
Machine Translation (I8)
|
99% |
652
12.0 IPS |
