MacBook Pro (14-inch, 2024)
Geekbench AI Score
5382
Single Precision Score
9092
Half Precision Score
7017
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 04:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2176
406.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3508
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3908
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17126
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32231
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24282
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4753
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8089
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4716
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14821
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10515
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25254
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51441
66.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40074
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10114
373.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5662
209.1 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5148
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5661
97.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9185
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9077
156.9 IPS |
