MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3223
Single Precision Score
15437
Half Precision Score
15121
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | DavidCool1 |
| Upload Date | January 03 2025 06:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
6075
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5741
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9562
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9910
160.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68423
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65494
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
7072
562.6 IPS |
|
|
Object Detection (Q)
|
91% |
6443
514.8 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
15719
186.8 IPS |
|
|
Face Detection (Q)
|
100% |
14463
171.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5803
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47458
365.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47913
374.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16725
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121319
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114869
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23852
880.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24483
904.0 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3390
58.6 IPS |
