MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3042
Single Precision Score
5422
Half Precision Score
4403
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 17 2026 11:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.5 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.4 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2534
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14110
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12151
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2402
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1766
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
2926
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4997
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10341
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7259
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16153
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25945
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21671
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3458
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4291
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4684
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4674
80.8 IPS |
