MacBook Pro (14-inch, 2024)
Geekbench AI Score
5487
Single Precision Score
9142
Half Precision Score
6955
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 09:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
96% |
2089
390.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3477
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3856
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15934
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33391
39.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25494
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8333
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
4667
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8477
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14423
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9569
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28159
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56333
72.4 IPS |
|
|
Style Transfer (Q)
|
96% |
42779
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6899
254.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9303
343.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5316
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5444
93.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8900
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8612
148.8 IPS |
