MacBook Pro (14-inch, 2024)
Geekbench AI Score
5629
Single Precision Score
9313
Half Precision Score
7124
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 11:26 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2139
397.9 IPS |
|
|
Image Classification (HP)
|
100% |
3107
577.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3660
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18210
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32231
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24879
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2634
208.9 IPS |
|
|
Object Detection (HP)
|
97% |
3923
312.3 IPS |
|
|
Object Detection (Q)
|
94% |
2714
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4868
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
7903
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4610
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8862
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15156
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10379
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26588
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52827
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39955
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6169
227.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10348
382.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5804
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9522
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9451
163.3 IPS |
