MacBook Pro (16-inch, 2024)
Geekbench AI Score
5609
Single Precision Score
9376
Half Precision Score
7172
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | August 12 2025 06:49 PM |
| Views | 10 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2119
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
3139
583.8 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18087
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33467
39.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25122
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
97% |
3918
311.9 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4965
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
8271
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
4666
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8803
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15617
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10748
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26342
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53785
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
41075
53.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10207
376.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5780
213.4 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6191
106.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9351
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9371
161.9 IPS |
