MacBook Pro (14-inch, 2024)
Geekbench AI Score
5762
Single Precision Score
9410
Half Precision Score
7146
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Nuckell |
| Upload Date | November 28 2025 01:39 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
3067
570.3 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17228
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33973
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26111
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
3863
307.5 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
5006
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4747
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8741
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15267
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9609
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30408
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
57167
73.5 IPS |
|
|
Style Transfer (Q)
|
96% |
43577
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7063
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9503
350.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5322
196.5 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5907
101.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9473
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9540
164.9 IPS |
