MacBook Pro (14-inch, 2024)
Geekbench AI Score
5851
Single Precision Score
9135
Half Precision Score
7010
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | 6liter |
| Upload Date | August 23 2025 01:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
3099
576.2 IPS |
|
|
Image Classification (Q)
|
96% |
2132
398.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3691
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19126
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32262
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24849
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (HP)
|
97% |
3890
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4509
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7916
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4523
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8718
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14608
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10304
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36731
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52706
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39979
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9616
355.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5838
215.6 IPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5966
102.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8938
154.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8819
152.4 IPS |
