MacBook Pro (14-inch, 2021)
Geekbench AI Score
2025
Single Precision Score
3463
Half Precision Score
2538
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 03:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 2.56 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
663
123.2 IPS |
|
|
Image Classification (HP)
|
100% |
1036
192.6 IPS |
|
|
Image Classification (Q)
|
96% |
660
123.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5221
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
19626
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14432
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
2103
167.4 IPS |
|
|
Object Detection (Q)
|
94% |
1464
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5203
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
1662
19.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3241
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4556
35.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5654
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12117
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13365
17.2 IPS |
|
|
Style Transfer (Q)
|
96% |
11805
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2756
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1869
69.0 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2681
3.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1999
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2177
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1414
24.4 IPS |
