MacBook Pro (14-inch, 2024)
Geekbench AI Score
5579
Single Precision Score
9314
Half Precision Score
7149
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
3133
582.6 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3967
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17932
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32805
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24859
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
3930
312.9 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4871
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8193
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
4627
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8770
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14969
115.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10460
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26843
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51619
66.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40401
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10247
378.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5927
218.8 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5465
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6113
105.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9475
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9389
162.3 IPS |
