MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2963
Single Precision Score
5234
Half Precision Score
4279
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1255
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (Q)
|
96% |
1509
281.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2436
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5707
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13395
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11523
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.1 IPS |
|
|
Object Detection (HP)
|
97% |
2327
185.3 IPS |
|
|
Object Detection (Q)
|
94% |
1720
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5219
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3039
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10005
77.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7045
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15608
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24982
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20800
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4524
167.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3363
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4579
79.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4580
79.1 IPS |
