MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3205
Single Precision Score
5236
Half Precision Score
4351
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 04:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
96% |
1551
289.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13898
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12046
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2414
192.2 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5458
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3125
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11053
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7651
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16739
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26100
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21846
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3366
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3819
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3720
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4203
72.6 IPS |
