MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3242
Single Precision Score
5636
Half Precision Score
4648
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.1 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5896
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
14085
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12105
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2413
192.1 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3158
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26927
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22339
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4513
166.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
4257
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6587
8.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6813
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4556
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4532
78.3 IPS |
