MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3207
Single Precision Score
5297
Half Precision Score
4382
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcworth |
| Upload Date | January 17 2025 09:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13857
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11996
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2411
192.0 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5406
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5749
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11047
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7659
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16900
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26363
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21841
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3376
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4066
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3807
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4224
73.0 IPS |
