MacBook Pro (14-inch, 2024)
Geekbench AI Score
14742
Single Precision Score
16665
Half Precision Score
15294
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | workmann |
| Upload Date | March 15 2025 12:54 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7236
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7585
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
7063
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14326
232.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15087
244.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14138
229.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56144
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
58667
68.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57021
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
6826
541.4 IPS |
|
|
Object Detection (HP)
|
100% |
7439
590.1 IPS |
|
|
Object Detection (Q)
|
92% |
6659
531.6 IPS |
|
|
Face Detection (SP)
|
100% |
25454
302.4 IPS |
|
|
Face Detection (HP)
|
100% |
28851
342.8 IPS |
|
|
Face Detection (Q)
|
100% |
23594
280.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32996
254.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35160
270.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
32488
254.0 IPS |
|
|
Style Transfer (SP)
|
100% |
123485
158.7 IPS |
|
|
Style Transfer (HP)
|
100% |
133894
172.1 IPS |
|
|
Style Transfer (Q)
|
96% |
130541
168.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22013
812.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23561
870.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20243
747.5 IPS |
|
|
Text Classification (SP)
|
100% |
2815
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4986
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4944
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1845
31.9 IPS |
