MacBook Pro (14-inch, 2024)
Geekbench AI Score
5530
Single Precision Score
9023
Half Precision Score
7025
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 12:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
3094
575.4 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3930
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17753
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31993
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24683
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
4856
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
8086
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4700
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8837
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14312
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10288
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26025
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49931
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39801
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10101
373.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5704
210.6 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5329
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5996
103.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8710
150.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8804
152.1 IPS |
