MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3198
Single Precision Score
16018
Half Precision Score
15718
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | vincentlee |
| Upload Date | April 04 2025 06:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5996
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1364
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9818
159.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10157
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69367
80.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67531
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7407
589.2 IPS |
|
|
Object Detection (Q)
|
91% |
6970
556.9 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16501
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
15363
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5650
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48569
374.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49392
386.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16968
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122092
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116666
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23540
869.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24087
889.4 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4101
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3660
63.3 IPS |
