MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5514
Single Precision Score
6402
Half Precision Score
6115
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | min2252 |
| Upload Date | March 06 2026 04:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
2488
462.7 IPS |
|
|
Image Classification (Q)
|
94% |
2461
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4005
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4312
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4182
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16903
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16291
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18588
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (Q)
|
91% |
2626
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
6986
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
8818
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
7996
95.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12168
93.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13777
106.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12938
101.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29560
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35489
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34412
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6483
239.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6199
228.9 IPS |
|
|
Text Classification (SP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4240
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4325
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1527
26.4 IPS |
