MacBook Pro (16-inch, 2024)
Geekbench AI Score
16139
Single Precision Score
17326
Half Precision Score
16739
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | December 21 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
7798
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8504
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
7729
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14414
233.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15166
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14625
237.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
54393
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59578
69.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57355
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
7051
559.3 IPS |
|
|
Object Detection (HP)
|
100% |
7168
568.6 IPS |
|
|
Object Detection (Q)
|
92% |
6940
554.0 IPS |
|
|
Face Detection (SP)
|
100% |
25302
300.6 IPS |
|
|
Face Detection (HP)
|
100% |
29382
349.1 IPS |
|
|
Face Detection (Q)
|
100% |
24484
290.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32951
253.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34941
269.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
32310
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
120141
154.4 IPS |
|
|
Style Transfer (HP)
|
100% |
133891
172.1 IPS |
|
|
Style Transfer (Q)
|
96% |
131834
170.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20886
771.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22068
814.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18730
691.6 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3505
60.6 IPS |
