MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3198
Single Precision Score
15938
Half Precision Score
15619
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
6294
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5898
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9740
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10172
164.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
68708
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66355
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7264
577.8 IPS |
|
|
Object Detection (Q)
|
91% |
6721
537.0 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16841
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15435
183.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48424
373.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
49018
383.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16979
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
124082
159.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115755
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23731
876.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24284
896.7 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3831
66.2 IPS |
