MacBook Pro (14-inch, 2024)
Geekbench AI Score
5528
Single Precision Score
9023
Half Precision Score
7054
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iKayla |
| Upload Date | February 27 2025 03:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.5 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2303
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3470
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3923
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17885
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31885
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24631
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2581
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
3850
306.5 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4861
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
7983
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
4674
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8817
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14471
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10258
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25946
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50314
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39576
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10115
373.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6134
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5285
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5260
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6009
103.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8889
153.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8873
153.3 IPS |
