MacBook Pro (16-inch, 2024)
Geekbench AI Score
5620
Single Precision Score
9331
Half Precision Score
7168
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kpkrishnamoorthy |
| Upload Date | November 18 2025 11:59 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 4.19 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
3098
576.1 IPS |
|
|
Image Classification (Q)
|
96% |
2206
411.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3546
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3953
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18161
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33196
38.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25280
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
97% |
3816
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4960
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
8168
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4677
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8877
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15356
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10600
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25828
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53945
69.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40934
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10209
377.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5757
212.6 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9562
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9471
163.7 IPS |
