MacBook Pro (14-inch, 2024)
Geekbench AI Score
5769
Single Precision Score
9346
Half Precision Score
7183
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 12:10 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% |
2158
401.3 IPS |
|
|
Image Classification (HP)
|
100% |
3059
568.9 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3389
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34178
39.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
26753
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
3887
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
5037
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4779
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8775
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14949
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9593
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30357
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56954
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43028
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9427
348.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5454
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5931
102.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9638
166.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9601
165.9 IPS |
