MacBook Pro (16-inch, 2024)
Geekbench AI Score
5381
Single Precision Score
9034
Half Precision Score
7007
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | September 11 2025 07:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2167
404.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3854
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17204
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32376
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24932
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8067
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4704
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8639
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14752
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10429
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25237
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51340
66.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40280
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10006
369.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5707
210.7 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5636
97.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8951
154.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8911
154.0 IPS |
