MacBook Pro (16-inch, 2024)
Geekbench AI Score
5390
Single Precision Score
9025
Half Precision Score
6989
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mathewshaw |
| Upload Date | January 03 2026 08:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3332
54.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3873
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17585
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32388
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24846
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2496
197.9 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4741
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8058
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4662
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14943
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10483
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25368
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51832
66.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39874
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9992
369.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5613
207.2 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5357
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5288
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5483
94.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8617
148.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8683
150.0 IPS |
