MacBook Pro (16-inch, 2024)
Geekbench AI Score
22808
Single Precision Score
25499
Half Precision Score
21928
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Justin_ho |
| Upload Date | October 04 2025 07:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
9445
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9937
1.85 KIPS |
|
|
Image Classification (Q)
|
96% |
9062
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23416
379.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24189
392.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22916
371.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
102022
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
110986
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
106060
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
9108
722.5 IPS |
|
|
Object Detection (HP)
|
100% |
9820
779.0 IPS |
|
|
Object Detection (Q)
|
92% |
9238
737.4 IPS |
|
|
Face Detection (SP)
|
100% |
40144
477.0 IPS |
|
|
Face Detection (HP)
|
100% |
43419
515.9 IPS |
|
|
Face Detection (Q)
|
100% |
36391
432.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44531
343.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47024
362.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
42902
335.1 IPS |
|
|
Style Transfer (SP)
|
100% |
215792
277.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235599
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
226985
292.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28846
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29792
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25582
944.6 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5488
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5425
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5641
97.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2569
44.4 IPS |
