MacBook Pro (14-inch, 2021)
Geekbench AI Score
3665
Single Precision Score
5816
Half Precision Score
4683
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | jvinkovic |
| Upload Date | August 29 2025 10:55 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (Q)
|
96% |
1508
281.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11073
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21665
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17149
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2310
183.9 IPS |
|
|
Object Detection (Q)
|
94% |
1727
137.6 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5020
59.6 IPS |
|
|
Face Detection (Q)
|
100% |
3088
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5833
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10392
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7010
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22111
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33554
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
25815
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5767
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4067
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4777
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4799
82.9 IPS |
