MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5439
Single Precision Score
6329
Half Precision Score
5388
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 15 2025 09:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 2.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2851
530.3 IPS |
|
|
Image Classification (HP)
|
100% |
2827
525.7 IPS |
|
|
Image Classification (Q)
|
99% |
2699
503.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4159
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4140
67.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
4326
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17044
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19221
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
17698
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
100% |
2843
225.5 IPS |
|
|
Object Detection (Q)
|
92% |
2602
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8663
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
6934
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12341
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13904
107.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
4445
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28679
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34909
44.9 IPS |
|
|
Style Transfer (Q)
|
100% |
34868
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6519
240.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6032
223.5 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1303
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1492
25.8 IPS |
