MacBook Pro (14-inch, 2021)
Geekbench AI Score
3661
Single Precision Score
5796
Half Precision Score
4677
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 07:57 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% |
1345
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
2001
372.2 IPS |
|
|
Image Classification (Q)
|
96% |
1504
280.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2551
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21558
25.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16925
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3218
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
5231
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3085
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5841
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10337
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7151
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21874
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32180
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25955
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5788
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4043
149.3 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4005
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3080
53.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4824
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4812
83.2 IPS |
