MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4874
Single Precision Score
5882
Half Precision Score
4368
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | January 23 2025 12:24 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.7 IPS |
|
|
Image Classification (Q)
|
99% |
2456
458.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3696
59.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3731
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17026
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18596
21.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
17073
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2710
214.9 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
91% |
2271
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
6682
79.4 IPS |
|
|
Face Detection (HP)
|
100% |
8831
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
5652
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11844
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13943
107.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
1999
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28886
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35350
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
34840
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6533
241.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7305
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5265
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
872
15.1 IPS |
