MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5903
Single Precision Score
6807
Half Precision Score
6290
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2147
399.2 IPS |
|
|
Image Classification (HP)
|
100% |
2270
422.1 IPS |
|
|
Image Classification (Q)
|
94% |
2042
381.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4021
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4253
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4080
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17024
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19354
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18645
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (Q)
|
91% |
2566
205.1 IPS |
|
|
Face Detection (SP)
|
100% |
7071
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
8896
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
8048
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12129
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13788
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12851
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29701
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35954
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34758
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6369
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5877
217.0 IPS |
|
|
Text Classification (SP)
|
99% |
4258
5.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6711
8.96 KIPS |
|
|
Text Classification (Q)
|
92% |
6755
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1930
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1706
29.5 IPS |
