MacBook Pro (14-inch, 2024)
Geekbench AI Score
21672
Single Precision Score
24349
Half Precision Score
22235
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | skalinator |
| Upload Date | December 11 2025 10:30 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8645
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
9475
1.76 KIPS |
|
|
Image Classification (Q)
|
96% |
9078
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22965
372.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23851
386.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22891
371.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
99324
115.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105850
123.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
103597
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
7871
624.3 IPS |
|
|
Object Detection (HP)
|
100% |
8852
702.1 IPS |
|
|
Object Detection (Q)
|
92% |
8161
651.4 IPS |
|
|
Face Detection (SP)
|
100% |
38205
454.0 IPS |
|
|
Face Detection (HP)
|
100% |
42080
500.0 IPS |
|
|
Face Detection (Q)
|
100% |
35097
417.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41344
318.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43843
337.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39596
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
214770
276.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232823
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
225048
290.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28098
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28892
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24983
922.5 IPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5147
88.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4002
69.2 IPS |
