MacBook Pro (14-inch, 2024)
Geekbench AI Score
17027
Single Precision Score
19377
Half Precision Score
17730
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | leckerli |
| Upload Date | October 25 2025 03:49 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% |
7925
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8617
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
7493
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14722
238.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15632
253.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14409
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54455
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59714
69.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
57246
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
7176
569.2 IPS |
|
|
Object Detection (HP)
|
100% |
7324
581.0 IPS |
|
|
Object Detection (Q)
|
92% |
7100
566.7 IPS |
|
|
Face Detection (SP)
|
100% |
26076
309.8 IPS |
|
|
Face Detection (HP)
|
100% |
30617
363.8 IPS |
|
|
Face Detection (Q)
|
100% |
24403
290.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33055
254.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35107
270.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
32463
253.6 IPS |
|
|
Style Transfer (SP)
|
100% |
120141
154.4 IPS |
|
|
Style Transfer (HP)
|
100% |
135283
173.9 IPS |
|
|
Style Transfer (Q)
|
96% |
131183
169.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22935
846.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23436
865.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18579
686.0 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
5786
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5631
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6427
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6434
111.2 IPS |
