MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3182
Single Precision Score
5417
Half Precision Score
4397
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | vincentlee |
| Upload Date | April 04 2025 06:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.6 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6466
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13997
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2392
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1767
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5297
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3106
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10432
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7376
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16941
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26972
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22362
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4881
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3500
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4490
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4482
77.5 IPS |
