MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2857
Single Precision Score
5061
Half Precision Score
4203
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MarkCX |
| Upload Date | March 05 2026 04:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (Q)
|
96% |
1457
272.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1141
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5522
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
13010
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11376
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
97% |
2183
173.8 IPS |
|
|
Object Detection (Q)
|
94% |
1630
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4412
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
2945
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5161
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9192
71.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6545
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15592
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25312
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21122
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3357
124.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4650
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3460
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4237
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4312
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4391
75.9 IPS |
