MacBook Pro (14-inch, 2024)
Geekbench AI Score
5811
Single Precision Score
9384
Half Precision Score
7182
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 17 2025 03:06 PM |
| Views | 4 |
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% |
2171
403.7 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2136
398.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3899
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17407
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33969
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26761
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
3890
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2768
220.6 IPS |
|
|
Face Detection (SP)
|
100% |
5064
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8572
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4808
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8832
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15291
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9676
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30628
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57411
73.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43718
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9285
342.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5354
197.7 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5675
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6003
103.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9670
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9697
167.6 IPS |
