MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3047
Single Precision Score
5203
Half Precision Score
4586
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 23 2025 03:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
99% |
2173
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6226
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
13938
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11641
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
97% |
2338
186.2 IPS |
|
|
Object Detection (Q)
|
94% |
1612
128.5 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2889
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10085
77.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
9939
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14058
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26595
34.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26897
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3496
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4679
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4545
78.5 IPS |
