MacBook Pro (16-inch, 2024)
Geekbench AI Score
16968
Single Precision Score
19198
Half Precision Score
17899
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sknight |
| Upload Date | October 19 2025 10:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8108
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8587
1.60 KIPS |
|
|
Image Classification (Q)
|
96% |
7814
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14432
233.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15230
246.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14638
237.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
54502
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
59685
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57428
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
7188
570.1 IPS |
|
|
Object Detection (HP)
|
100% |
7504
595.2 IPS |
|
|
Object Detection (Q)
|
92% |
7168
572.1 IPS |
|
|
Face Detection (SP)
|
100% |
26197
311.3 IPS |
|
|
Face Detection (HP)
|
100% |
29940
355.8 IPS |
|
|
Face Detection (Q)
|
100% |
24617
292.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33085
254.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35399
272.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
32401
253.1 IPS |
|
|
Style Transfer (SP)
|
100% |
120615
155.1 IPS |
|
|
Style Transfer (HP)
|
100% |
134473
172.9 IPS |
|
|
Style Transfer (Q)
|
96% |
131328
169.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21638
799.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21872
807.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18965
700.3 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5934
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6578
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6558
113.3 IPS |
