MacBook Pro (14-inch, 2024)
Geekbench AI Score
5705
Single Precision Score
9309
Half Precision Score
7240
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 08:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2120
394.2 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.1 IPS |
|
|
Image Classification (Q)
|
96% |
2227
415.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3819
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33840
39.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26027
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4924
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
8366
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4759
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8777
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14821
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10615
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29715
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56322
72.4 IPS |
|
|
Style Transfer (Q)
|
96% |
42824
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6992
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9491
350.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5947
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5670
97.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9190
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9113
157.5 IPS |
