MacBook Pro (16-inch, 2024)
Geekbench AI Score
24083
Single Precision Score
26830
Half Precision Score
24909
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 02:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
10836
2.02 KIPS |
|
|
Image Classification (HP)
|
100% |
10847
2.02 KIPS |
|
|
Image Classification (Q)
|
96% |
9867
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23619
382.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24696
400.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23449
380.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
102498
119.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
111703
130.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
107214
125.6 IPS |
|
|
Object Detection (SP)
|
100% |
9226
731.8 IPS |
|
|
Object Detection (HP)
|
100% |
10211
809.9 IPS |
|
|
Object Detection (Q)
|
92% |
9638
769.3 IPS |
|
|
Face Detection (SP)
|
100% |
40499
481.2 IPS |
|
|
Face Detection (HP)
|
100% |
44130
524.4 IPS |
|
|
Face Detection (Q)
|
100% |
36664
435.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44961
346.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47707
367.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
44054
344.1 IPS |
|
|
Style Transfer (SP)
|
100% |
220272
283.2 IPS |
|
|
Style Transfer (HP)
|
100% |
238277
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
231787
299.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30825
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31554
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26892
993.0 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5744
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5666
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6704
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6959
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6743
116.5 IPS |
