MacBook Pro (14-inch, 2024)
Geekbench AI Score
5575
Single Precision Score
9194
Half Precision Score
7040
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 06:19 AM |
| Views | 1 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (HP)
|
100% |
3101
576.8 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3557
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17954
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32828
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24595
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
3903
310.7 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8222
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4595
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8837
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14722
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10315
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26096
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50966
65.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39959
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10214
377.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5709
210.8 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5382
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6110
105.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9013
155.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8928
154.3 IPS |
