MacBook Pro (14-inch, 2024)
Geekbench AI Score
4665
Single Precision Score
7805
Half Precision Score
6258
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 16 2025 04:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C103) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
3271
608.4 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3378
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3620
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9748
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18991
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16405
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4361
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8140
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14461
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10055
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25035
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38442
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31689
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5926
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4878
180.1 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6824
117.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6897
119.2 IPS |
