MacBook Pro (16-inch, 2024)
Geekbench AI Score
6031
Single Precision Score
9568
Half Precision Score
7298
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 20 2026 12:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2190
407.3 IPS |
|
|
Image Classification (HP)
|
100% |
3001
558.1 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3505
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3983
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18391
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34665
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27261
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (HP)
|
97% |
3964
315.6 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
5351
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8821
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
4906
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9060
69.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15616
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9817
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31615
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58664
75.4 IPS |
|
|
Style Transfer (Q)
|
96% |
44121
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7064
260.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9610
354.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5420
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5758
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5695
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6681
115.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9949
171.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9985
172.6 IPS |
