MacBook Pro (16-inch, 2024) - Baba MacBook Pro 16 M4 Pro MacBook Pro (16-inch, 2024)
Geekbench AI Score
15356
Single Precision Score
17197
Half Precision Score
15087
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Rahul1987 |
| Upload Date | January 29 2025 02:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
7509
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7960
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
6768
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11938
193.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12885
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13463
218.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56746
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59065
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55837
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
7165
568.3 IPS |
|
|
Object Detection (HP)
|
100% |
7626
604.9 IPS |
|
|
Object Detection (Q)
|
91% |
6457
516.0 IPS |
|
|
Face Detection (SP)
|
100% |
25902
307.8 IPS |
|
|
Face Detection (HP)
|
100% |
27951
332.1 IPS |
|
|
Face Detection (Q)
|
100% |
20976
249.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
33066
254.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35703
275.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29617
231.5 IPS |
|
|
Style Transfer (SP)
|
100% |
123823
159.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134236
172.6 IPS |
|
|
Style Transfer (Q)
|
96% |
127306
164.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22922
846.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24205
893.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19142
706.8 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5146
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2916
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2388
41.3 IPS |
