MacBook Pro (14-inch, 2021)
Geekbench AI Score
3637
Single Precision Score
5790
Half Precision Score
4651
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (Q)
|
96% |
1501
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2565
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11114
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22061
25.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17163
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
97% |
2305
183.5 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
5073
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3006
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5724
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10272
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7092
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21994
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32024
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25837
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5822
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4037
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4000
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4771
82.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4666
80.6 IPS |
