MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3221
Single Precision Score
5265
Half Precision Score
4373
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | March 21 2025 05:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.7 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2172
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13924
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12079
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3061
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11053
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7669
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17067
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26121
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21873
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4402
162.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3374
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3698
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4234
73.2 IPS |
