MacBook Pro (14-inch, 2024)
Geekbench AI Score
5796
Single Precision Score
9427
Half Precision Score
7185
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:36 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.8 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17328
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34117
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26776
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2769
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8583
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4815
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8856
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15326
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9674
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30723
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57571
74.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43936
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7036
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9582
353.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5334
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5575
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9607
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9602
165.9 IPS |
