MacBook Pro (14-inch, 2024)
Geekbench AI Score
16918
Single Precision Score
18973
Half Precision Score
17854
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | FreddySwift |
| Upload Date | October 28 2025 02:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8048
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
8345
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
7754
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14362
232.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15187
246.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14550
235.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
54500
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59664
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57499
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
6971
552.9 IPS |
|
|
Object Detection (HP)
|
100% |
7363
584.0 IPS |
|
|
Object Detection (Q)
|
92% |
7050
562.7 IPS |
|
|
Face Detection (SP)
|
100% |
26464
314.5 IPS |
|
|
Face Detection (HP)
|
100% |
29919
355.5 IPS |
|
|
Face Detection (Q)
|
100% |
24487
291.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32990
254.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35045
270.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
32463
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
120632
155.1 IPS |
|
|
Style Transfer (HP)
|
100% |
134555
173.0 IPS |
|
|
Style Transfer (Q)
|
96% |
133686
172.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21652
799.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21506
794.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18471
682.0 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5573
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5982
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6422
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6498
112.3 IPS |
