MacBook Pro (14-inch, 2021)
Geekbench AI Score
3659
Single Precision Score
5828
Half Precision Score
4680
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 06 2025 04:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2557
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22361
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17334
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1703
135.7 IPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5062
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
3014
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10116
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7011
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22036
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33529
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26764
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4018
148.4 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3087
53.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4877
84.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4840
83.6 IPS |
