MacBook Pro (16-inch, 2024)/M4 Pro MacBook Pro (16-inch, 2024)
Geekbench AI Score
5773
Single Precision Score
35823
Half Precision Score
47971
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:41 AM |
| Views | 4 |
| Notes | MacBook Pro (16-inch, 2024)/M4 Pro 14Core CPU/20Core GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
16984
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
21540
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23146
375.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31991
518.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18959
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123060
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230614
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
19440
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23425
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44280
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
63258
751.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8868
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110875
854.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175786
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
36047
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238480
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303025
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45632
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76824
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4408
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4268
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15717
270.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15691
271.2 IPS |
