MacBook Pro (14-inch, 2024)
Geekbench AI Score
5725
Single Precision Score
9305
Half Precision Score
7166
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 04:15 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.6 IPS |
|
|
Image Classification (Q)
|
96% |
2132
398.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3870
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17275
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34030
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26594
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.7 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
5002
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
8556
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4807
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8776
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15005
116.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9667
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30481
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
57229
73.6 IPS |
|
|
Style Transfer (Q)
|
96% |
43455
56.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9454
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5607
207.0 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5559
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5759
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9287
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9312
160.9 IPS |
