MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3191
Single Precision Score
14926
Half Precision Score
14574
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 19 2025 03:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
6258
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5923
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8864
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9130
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6475
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68431
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64823
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7094
564.3 IPS |
|
|
Object Detection (Q)
|
91% |
6714
536.5 IPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
14111
167.7 IPS |
|
|
Face Detection (Q)
|
100% |
13037
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46249
356.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46167
360.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16692
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121381
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114114
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23804
879.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24103
890.0 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3996
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2516
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2778
48.0 IPS |
