MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5303
Single Precision Score
6224
Half Precision Score
5778
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
2312
429.9 IPS |
|
|
Image Classification (Q)
|
96% |
2140
399.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3989
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4155
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16857
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18751
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17988
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (Q)
|
92% |
2414
192.7 IPS |
|
|
Face Detection (SP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8517
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7004
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12071
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13680
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12646
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29187
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35337
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34210
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6430
237.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7234
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6075
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3863
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1531
26.5 IPS |
