MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2840
Single Precision Score
4928
Half Precision Score
3756
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 15 2025 05:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5062e) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.6 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.2 IPS |
|
|
Image Classification (Q)
|
99% |
2146
400.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
740
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5810
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
13041
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9287
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
97% |
2057
163.7 IPS |
|
|
Object Detection (Q)
|
94% |
969
77.3 IPS |
|
|
Face Detection (SP)
|
100% |
2519
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
4977
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
3030
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5022
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9570
74.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
9619
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15051
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22766
29.3 IPS |
|
|
Style Transfer (Q)
|
100% |
24668
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3223
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3746
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4169
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4453
76.9 IPS |
