MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3244
Single Precision Score
5674
Half Precision Score
4660
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:09 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.3 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14087
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12108
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2426
193.1 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5429
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5424
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10397
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7364
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16325
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26954
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22355
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3376
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4535
167.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
4256
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6843
9.13 KIPS |
|
|
Text Classification (Q)
|
92% |
6865
9.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4584
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4560
78.8 IPS |
