MacBook Pro (14-inch, 2024)
Geekbench AI Score
15332
Single Precision Score
17243
Half Precision Score
15790
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cconway |
| Upload Date | October 31 2025 02:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.41 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7442
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
8009
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7247
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12572
203.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13213
214.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12532
203.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44454
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49628
57.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
48208
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
7149
567.0 IPS |
|
|
Object Detection (HP)
|
100% |
7603
603.1 IPS |
|
|
Object Detection (Q)
|
92% |
6880
549.1 IPS |
|
|
Face Detection (SP)
|
100% |
24083
286.2 IPS |
|
|
Face Detection (HP)
|
100% |
26741
317.7 IPS |
|
|
Face Detection (Q)
|
100% |
20419
242.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30724
236.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
32649
251.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
28934
226.0 IPS |
|
|
Style Transfer (SP)
|
100% |
101232
130.1 IPS |
|
|
Style Transfer (HP)
|
100% |
111279
143.1 IPS |
|
|
Style Transfer (Q)
|
96% |
108961
140.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16971
626.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17957
663.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15295
564.8 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
5689
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5559
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5491
94.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5865
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5845
101.0 IPS |
