MacBook Pro (16-inch, 2024)
Geekbench AI Score
5799
Single Precision Score
9381
Half Precision Score
7186
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 05:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
3083
573.4 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3403
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3897
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17403
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34114
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26869
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3880
308.9 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
5095
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8630
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
4821
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8878
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15028
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9672
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30677
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57954
74.5 IPS |
|
|
Style Transfer (Q)
|
96% |
43667
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9476
349.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5362
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5603
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6046
104.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9559
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9560
165.2 IPS |
