MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3109
Single Precision Score
5229
Half Precision Score
4365
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 03:18 AM |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2168
403.2 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2571
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
13629
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11959
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
97% |
2301
183.2 IPS |
|
|
Object Detection (Q)
|
94% |
1705
135.9 IPS |
|
|
Face Detection (SP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5587
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10843
83.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7554
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16788
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25579
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21982
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3586
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4571
168.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3385
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4121
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3804
65.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4209
72.7 IPS |
