MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3195
Single Precision Score
5304
Half Precision Score
4399
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | March 21 2025 05:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6181
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
13645
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12079
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2449
195.0 IPS |
|
|
Object Detection (Q)
|
94% |
1806
144.0 IPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5562
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3233
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5794
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11066
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7684
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16698
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26158
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21845
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4384
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3929
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4234
73.2 IPS |
