MacBook Pro (14-inch, 2024)
Geekbench AI Score
6043
Single Precision Score
9596
Half Precision Score
7324
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | felixskw |
| Upload Date | March 04 2026 10:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (HP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (Q)
|
96% |
2171
405.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3589
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3999
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18652
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34692
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27225
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
97% |
3968
315.9 IPS |
|
|
Object Detection (Q)
|
94% |
2800
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
8818
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
4887
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9042
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15600
120.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10263
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31553
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58445
75.1 IPS |
|
|
Style Transfer (Q)
|
96% |
44181
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7162
264.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9719
358.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5443
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9979
172.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9907
171.2 IPS |
