MacBook Pro (16-inch, 2024)
Geekbench AI Score
5945
Single Precision Score
9530
Half Precision Score
7428
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.35 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
3144
584.7 IPS |
|
|
Image Classification (Q)
|
96% |
2226
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18256
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34653
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26804
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
3908
311.1 IPS |
|
|
Object Detection (Q)
|
94% |
2797
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
5100
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
8706
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
4876
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8854
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15149
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10806
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31746
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58356
75.0 IPS |
|
|
Style Transfer (Q)
|
96% |
43876
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9541
352.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6062
223.8 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5600
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6459
111.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9939
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9951
172.0 IPS |
