MacBook Pro (16-inch, 2024)
Geekbench AI Score
5368
Single Precision Score
8995
Half Precision Score
6970
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 27 2025 12:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2168
404.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3479
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3916
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16903
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31276
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23957
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
7913
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4651
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14427
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10197
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25715
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50369
64.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39186
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5980
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9954
367.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5632
208.0 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5307
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5262
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5640
97.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9072
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9084
157.0 IPS |
