MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4892
Single Precision Score
5808
Half Precision Score
5172
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | June 09 2025 07:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2176
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.2 IPS |
|
|
Image Classification (Q)
|
97% |
2228
415.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2671
43.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3651
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3716
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17003
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18679
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17366
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2708
214.8 IPS |
|
|
Object Detection (HP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (Q)
|
91% |
2295
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
5862
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12078
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13533
104.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11346
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29273
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34824
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32610
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6551
241.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5445
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3965
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
888
15.3 IPS |
