MacBook Pro (16-inch, 2024)
Geekbench AI Score
5373
Single Precision Score
9066
Half Precision Score
7035
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | January 10 2026 11:38 AM |
| Views | 3 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3038
564.9 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3452
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3920
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17293
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32699
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24917
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8060
95.8 IPS |
|
|
Face Detection (Q)
|
100% |
4698
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8631
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15015
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10533
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25024
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51766
66.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40297
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9974
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5618
207.4 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5248
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5310
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8743
151.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8811
152.3 IPS |
