MacBook Pro (16-inch, 2024)
Geekbench AI Score
5576
Single Precision Score
9335
Half Precision Score
7198
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
3100
576.5 IPS |
|
|
Image Classification (Q)
|
96% |
2207
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3586
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3981
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17936
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32881
38.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25174
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
3900
310.5 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4925
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
8230
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4716
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8851
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15307
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10697
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26171
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54137
69.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40872
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10204
376.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5968
220.4 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6073
104.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9419
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9428
162.9 IPS |
