MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3228
Single Precision Score
5287
Half Precision Score
4396
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | micksbiz |
| Upload Date | February 10 2025 12:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1413
262.7 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2611
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13967
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12078
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2434
193.8 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5563
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11094
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26081
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21895
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4353
160.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3343
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3646
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4253
73.5 IPS |
