MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2874
Single Precision Score
13937
Half Precision Score
13835
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1199
222.9 IPS |
|
|
Image Classification (HP)
|
100% |
5595
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5769
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8452
137.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8712
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5531
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
61672
72.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59639
69.9 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
6734
535.6 IPS |
|
|
Object Detection (Q)
|
91% |
6156
491.9 IPS |
|
|
Face Detection (SP)
|
100% |
2832
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
11228
133.4 IPS |
|
|
Face Detection (Q)
|
100% |
11841
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4906
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43414
334.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
45602
356.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15387
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
114293
146.9 IPS |
|
|
Style Transfer (Q)
|
96% |
107971
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3294
121.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23789
878.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23857
880.9 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2449
42.3 IPS |
