MacBook Pro (16-inch, 2024)
Geekbench AI Score
15398
Single Precision Score
17292
Half Precision Score
15455
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aleo |
| Upload Date | December 21 2025 11:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7458
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7985
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7332
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14322
232.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15014
243.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14183
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56125
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
56734
66.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
55964
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
6818
540.8 IPS |
|
|
Object Detection (HP)
|
100% |
7576
600.9 IPS |
|
|
Object Detection (Q)
|
92% |
6970
556.3 IPS |
|
|
Face Detection (SP)
|
100% |
25047
297.6 IPS |
|
|
Face Detection (HP)
|
100% |
28570
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
24047
285.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33044
254.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35077
270.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
31732
247.9 IPS |
|
|
Style Transfer (SP)
|
100% |
125470
161.3 IPS |
|
|
Style Transfer (HP)
|
100% |
133665
171.8 IPS |
|
|
Style Transfer (Q)
|
96% |
128887
166.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22584
833.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21709
801.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19361
714.9 IPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5131
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3069
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1963
33.9 IPS |
