MacBook Pro (16-inch, 2024)
Geekbench AI Score
16846
Single Precision Score
18606
Half Precision Score
17465
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | souko |
| Upload Date | January 10 2026 11:35 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
7760
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
8153
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7496
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14647
237.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15142
245.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14321
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56512
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
56911
66.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
56218
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
6782
537.9 IPS |
|
|
Object Detection (HP)
|
100% |
7563
599.9 IPS |
|
|
Object Detection (Q)
|
92% |
7067
564.1 IPS |
|
|
Face Detection (SP)
|
100% |
26953
320.3 IPS |
|
|
Face Detection (HP)
|
100% |
29463
350.1 IPS |
|
|
Face Detection (Q)
|
100% |
23808
282.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33994
261.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36056
277.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
32100
250.7 IPS |
|
|
Style Transfer (SP)
|
100% |
124216
159.7 IPS |
|
|
Style Transfer (HP)
|
100% |
131825
169.5 IPS |
|
|
Style Transfer (Q)
|
96% |
130067
167.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22888
845.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20988
775.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19740
728.9 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5207
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5621
96.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6116
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5952
102.9 IPS |
