MacBook Pro (14-inch, 2024)
Geekbench AI Score
5789
Single Precision Score
9361
Half Precision Score
7168
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 11 2025 06:49 AM |
| Views | 3 |
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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
2952
548.9 IPS |
|
|
Image Classification (Q)
|
96% |
2140
399.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3470
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3896
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17396
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34024
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26653
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3866
307.8 IPS |
|
|
Object Detection (Q)
|
94% |
2755
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
8562
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4799
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8793
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14963
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9658
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30502
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
57536
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43778
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7073
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9450
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5410
199.8 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5777
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5908
101.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9534
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9498
164.1 IPS |
