MacBook Pro (14-inch, 2021)
Geekbench AI Score
8398
Single Precision Score
9386
Half Precision Score
8548
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | robertdb3 |
| Upload Date | May 27 2025 01:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3876
720.9 IPS |
|
|
Image Classification (HP)
|
100% |
4039
751.1 IPS |
|
|
Image Classification (Q)
|
96% |
3768
703.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6806
110.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6881
111.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6553
106.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29725
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32290
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31474
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
3764
298.5 IPS |
|
|
Object Detection (HP)
|
100% |
3944
312.8 IPS |
|
|
Object Detection (Q)
|
92% |
3690
294.6 IPS |
|
|
Face Detection (SP)
|
100% |
13388
159.1 IPS |
|
|
Face Detection (HP)
|
100% |
13954
165.8 IPS |
|
|
Face Detection (Q)
|
100% |
12014
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17668
136.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16755
129.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
15423
120.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50255
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60019
77.2 IPS |
|
|
Style Transfer (Q)
|
96% |
58525
75.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10701
395.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11460
423.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10126
373.9 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4041
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2025
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2308
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1644
28.4 IPS |
