MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3064
Single Precision Score
5363
Half Precision Score
4424
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | imaginarybeing |
| Upload Date | October 04 2025 11:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1281
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2522
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14113
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12134
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2398
190.9 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5432
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10350
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7322
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16409
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25781
33.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21688
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3427
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4480
165.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3477
128.4 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4079
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2455
42.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4679
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4641
80.2 IPS |
