MacBook Pro (14-inch, 2024)
Geekbench AI Score
10603
Single Precision Score
12593
Half Precision Score
11648
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 02:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4850
901.9 IPS |
|
|
Image Classification (HP)
|
100% |
5331
991.4 IPS |
|
|
Image Classification (Q)
|
96% |
4834
902.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7427
120.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8279
134.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8061
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28979
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33279
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32350
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
5001
396.7 IPS |
|
|
Object Detection (HP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (Q)
|
92% |
4771
380.8 IPS |
|
|
Face Detection (SP)
|
100% |
13017
154.7 IPS |
|
|
Face Detection (HP)
|
100% |
17762
211.0 IPS |
|
|
Face Detection (Q)
|
100% |
14077
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21409
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23926
184.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21815
170.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59773
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72954
93.8 IPS |
|
|
Style Transfer (Q)
|
96% |
70337
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12210
450.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12724
469.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10967
405.0 IPS |
|
|
Text Classification (SP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5467
94.5 IPS |
