MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5390
Single Precision Score
6133
Half Precision Score
5752
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:42 AM |
| Views | 10 |
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% |
2203
409.7 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (Q)
|
96% |
2153
402.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3992
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4247
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17017
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18638
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18032
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (Q)
|
92% |
2427
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
6948
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
8266
98.2 IPS |
|
|
Face Detection (Q)
|
100% |
6973
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11924
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13487
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12396
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29197
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35320
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34152
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6383
235.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7201
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6039
223.0 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
