MacBook Pro (14-inch, 2024)
Geekbench AI Score
15000
Single Precision Score
16898
Half Precision Score
15830
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cconway |
| Upload Date | October 31 2025 12:44 AM |
| Views | 6 |
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% |
7264
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7571
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
6847
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12364
200.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12812
207.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12285
199.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
43370
50.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48780
56.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47597
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
6825
541.4 IPS |
|
|
Object Detection (HP)
|
100% |
7054
559.5 IPS |
|
|
Object Detection (Q)
|
92% |
6647
530.5 IPS |
|
|
Face Detection (SP)
|
100% |
22875
271.8 IPS |
|
|
Face Detection (HP)
|
100% |
25470
302.6 IPS |
|
|
Face Detection (Q)
|
100% |
20977
249.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31055
239.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32672
251.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
30725
240.0 IPS |
|
|
Style Transfer (SP)
|
100% |
103171
132.6 IPS |
|
|
Style Transfer (HP)
|
100% |
114611
147.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111099
143.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17080
630.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18000
664.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15832
584.6 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5787
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5713
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5366
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5727
98.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5736
99.1 IPS |
