MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5370
Single Precision Score
6173
Half Precision Score
5802
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:47 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
2050
381.2 IPS |
|
|
Image Classification (HP)
|
100% |
2178
405.0 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4026
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4286
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4063
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16882
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18655
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18156
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (Q)
|
92% |
2394
191.1 IPS |
|
|
Face Detection (SP)
|
100% |
6835
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
7016
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12200
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13450
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12429
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29054
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35231
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34223
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6018
222.2 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1534
26.5 IPS |
