MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4380
Single Precision Score
4812
Half Precision Score
1612
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 11:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.6 IPS |
|
|
Image Classification (Q)
|
97% |
1771
330.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2665
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3491
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16745
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18267
21.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
16613
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (Q)
|
92% |
2028
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
6190
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
7422
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
5319
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11967
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13295
102.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28521
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34367
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31135
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6325
233.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5472
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
735
980.7 IPS |
|
|
Text Classification (Q)
|
93% |
552
740.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1142
19.7 IPS |
