MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4150
Single Precision Score
4949
Half Precision Score
4547
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 05:04 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (HP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (Q)
|
96% |
1804
336.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3454
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3278
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9841
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11884
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11594
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2016
159.9 IPS |
|
|
Object Detection (HP)
|
100% |
1960
155.5 IPS |
|
|
Object Detection (Q)
|
92% |
1799
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
5832
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
4715
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7928
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9845
75.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9010
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24764
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31389
40.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30352
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6472
239.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7297
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6015
222.1 IPS |
|
|
Text Classification (SP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2563
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2575
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
