MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5410
Single Precision Score
6196
Half Precision Score
5806
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:44 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% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.3 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4000
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4242
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4053
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16832
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18695
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18020
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (Q)
|
92% |
2395
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
6972
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
8482
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7083
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12045
92.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13559
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12343
96.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29197
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35339
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34198
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6379
235.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6109
225.6 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1575
27.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1519
26.2 IPS |
