MacBook Pro (16-inch, 2024)
Geekbench AI Score
5590
Single Precision Score
9178
Half Precision Score
7111
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hyperameba |
| Upload Date | May 09 2025 07:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
3106
577.7 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3467
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17956
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32237
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24624
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
97% |
3883
309.1 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4891
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
7998
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8857
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14704
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10222
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26339
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53068
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40010
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6077
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10166
375.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6066
224.0 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5335
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6210
107.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9246
159.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9238
159.6 IPS |
