MacBook Pro (14-inch, 2024)
Geekbench AI Score
5977
Single Precision Score
9535
Half Precision Score
7298
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 03:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
3125
581.1 IPS |
|
|
Image Classification (Q)
|
96% |
2177
406.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3985
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18322
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34603
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27149
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.3 IPS |
|
|
Object Detection (HP)
|
97% |
3938
313.5 IPS |
|
|
Object Detection (Q)
|
94% |
2799
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
5283
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
8750
104.0 IPS |
|
|
Face Detection (Q)
|
100% |
4869
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8982
69.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15177
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9767
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31275
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
58023
74.6 IPS |
|
|
Style Transfer (Q)
|
96% |
44000
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7171
264.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9430
348.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5509
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5683
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6433
110.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9969
172.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9935
171.7 IPS |
