MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1964
Single Precision Score
12437
Half Precision Score
10079
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 12:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
990
184.0 IPS |
|
|
Image Classification (HP)
|
100% |
6392
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5709
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
524
8.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
5713
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
67757
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64701
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
99% |
7190
571.9 IPS |
|
|
Object Detection (Q)
|
93% |
6649
530.5 IPS |
|
|
Face Detection (SP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
12245
145.5 IPS |
|
|
Face Detection (Q)
|
100% |
12262
145.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3326
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45137
347.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
51295
400.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9959
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119252
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114444
147.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18033
665.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20895
771.6 IPS |
|
|
Text Classification (SP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2429
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2301
39.8 IPS |
