MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4995
Single Precision Score
5888
Half Precision Score
5119
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shigue |
| Upload Date | March 17 2025 02:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
97% |
2313
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3650
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3731
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16912
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18732
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17449
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (HP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (Q)
|
91% |
2307
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
6611
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
8272
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
5768
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12192
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13701
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
11420
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28882
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34786
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32992
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6630
244.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7376
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5562
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
710
12.3 IPS |
