MacBook Pro (14-inch, 2021)
Geekbench AI Score
8935
Single Precision Score
9798
Half Precision Score
8682
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
3750
697.4 IPS |
|
|
Image Classification (HP)
|
100% |
3779
702.8 IPS |
|
|
Image Classification (Q)
|
94% |
3633
679.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6814
110.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6821
110.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6546
106.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29828
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32271
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30998
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (HP)
|
100% |
3864
306.5 IPS |
|
|
Object Detection (Q)
|
91% |
3670
293.3 IPS |
|
|
Face Detection (SP)
|
100% |
13665
162.4 IPS |
|
|
Face Detection (HP)
|
100% |
14058
167.0 IPS |
|
|
Face Detection (Q)
|
100% |
12841
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17391
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16279
125.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
15540
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50191
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
59680
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58228
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11014
406.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9617
355.1 IPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4131
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1949
33.7 IPS |
