MacBook Pro (16-inch, 2024)
Geekbench AI Score
5625
Single Precision Score
9369
Half Precision Score
7191
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Loplop |
| Upload Date | September 12 2025 08:28 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
3094
575.4 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3520
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18341
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33372
38.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25632
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
97% |
3897
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2710
216.0 IPS |
|
|
Face Detection (SP)
|
100% |
4978
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
8228
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4769
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8903
68.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15632
120.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10846
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26381
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55154
70.9 IPS |
|
|
Style Transfer (Q)
|
96% |
41591
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10286
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5722
211.3 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5350
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6335
109.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9426
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9404
162.5 IPS |
