MacBook Pro (16-inch, 2024)
Geekbench AI Score
5340
Single Precision Score
8932
Half Precision Score
6955
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aleo |
| Upload Date | December 21 2025 11:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (Q)
|
96% |
2169
405.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2278
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3328
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3891
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17167
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32294
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24566
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14435
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10317
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25210
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49716
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39748
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9981
368.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5629
207.8 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5256
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5114
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5458
94.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8761
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8814
152.3 IPS |
