MacBook Pro (14-inch, 2024)
Geekbench AI Score
21053
Single Precision Score
23773
Half Precision Score
22127
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | January 10 2026 09:38 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
9545
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9944
1.85 KIPS |
|
|
Image Classification (Q)
|
96% |
8887
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19858
321.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20900
338.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20055
325.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
77118
90.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
87587
102.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
84418
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
8578
680.4 IPS |
|
|
Object Detection (HP)
|
100% |
9529
755.9 IPS |
|
|
Object Detection (Q)
|
92% |
8871
708.1 IPS |
|
|
Face Detection (SP)
|
100% |
34993
415.8 IPS |
|
|
Face Detection (HP)
|
100% |
38615
458.8 IPS |
|
|
Face Detection (Q)
|
100% |
31659
376.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
41652
320.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44296
341.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
40344
315.1 IPS |
|
|
Style Transfer (SP)
|
100% |
182193
234.2 IPS |
|
|
Style Transfer (HP)
|
100% |
197327
253.7 IPS |
|
|
Style Transfer (Q)
|
96% |
197528
254.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25441
939.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26890
992.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22861
844.2 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6497
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6525
112.8 IPS |
