MacBook Pro (16-inch, 2024)
Geekbench AI Score
5377
Single Precision Score
9056
Half Precision Score
7037
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | January 10 2026 11:33 AM |
| Views | 4 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.5 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3897
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17159
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32437
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24671
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8102
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4717
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14924
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10521
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51384
66.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40158
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9905
365.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5715
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5227
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5630
97.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9068
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9093
157.1 IPS |
