MacBook Pro (16-inch, 2024)
Geekbench AI Score
6067
Single Precision Score
9652
Half Precision Score
7465
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 02:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2201
409.3 IPS |
|
|
Image Classification (HP)
|
100% |
3264
607.1 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2494
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4013
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18523
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
34742
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26741
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
97% |
3977
316.6 IPS |
|
|
Object Detection (Q)
|
94% |
2817
224.5 IPS |
|
|
Face Detection (SP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8815
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
4911
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9061
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15298
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10465
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31538
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58592
75.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43917
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9575
353.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5992
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5760
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5725
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6747
116.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9909
171.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9934
171.7 IPS |
