MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3223
Single Precision Score
5329
Half Precision Score
4405
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 01:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6507
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13936
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2429
193.4 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5494
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3200
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11062
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7682
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16791
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26269
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21971
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4597
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3388
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4058
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3814
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4242
73.3 IPS |
