MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3193
Single Precision Score
5364
Half Precision Score
4397
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 12:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1417
263.6 IPS |
|
|
Image Classification (HP)
|
100% |
2200
409.2 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1397
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2544
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14225
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12172
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2363
188.1 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.2 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5373
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10431
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16896
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26931
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22317
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4497
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3484
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3849
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4539
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
