MacBook Pro (14-inch, 2024)
Geekbench AI Score
5490
Single Precision Score
9125
Half Precision Score
7065
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 02:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2117
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
3107
577.9 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17735
20.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32078
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24492
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
3838
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4743
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8046
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4706
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8776
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14960
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10324
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26099
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51338
66.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39649
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6027
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10004
369.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6025
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5160
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5818
100.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9124
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9151
158.1 IPS |
