MacBook Pro (13-inch Late 2020)
Geekbench ML Score
6802
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 02 2024 01:07 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1656
309.8 IPS |
|
|
Image Classification (F16)
|
100% |
6117
1.14 KIPS |
|
|
Image Classification (I8)
|
99% |
6298
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1156
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1165
19.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16518
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
63379
76.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
64192
77.7 IPS |
|
|
Object Detection (F32)
|
100% |
1508
112.6 IPS |
|
|
Object Detection (F16)
|
100% |
3992
298.0 IPS |
|
|
Object Detection (I8)
|
97% |
1521
113.6 IPS |
|
|
Face Detection (F32)
|
100% |
5706
67.8 IPS |
|
|
Face Detection (F16)
|
97% |
12196
145.0 IPS |
|
|
Face Detection (I8)
|
96% |
11999
142.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12162
94.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
40933
317.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
42373
328.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27817
36.6 IPS |
|
|
Style Transfer (F16)
|
100% |
114589
150.7 IPS |
|
|
Style Transfer (I8)
|
100% |
119558
157.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5422
193.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24221
865.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23856
852.0 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3620
5.20 KIPS |
|
|
Text Classification (I8)
|
96% |
3662
5.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
527
9.70 IPS |
|
|
Machine Translation (F16)
|
100% |
1301
23.9 IPS |
|
|
Machine Translation (I8)
|
99% |
534
9.83 IPS |
