MacBook Pro (14-inch, 2024)
Geekbench AI Score
5910
Single Precision Score
9101
Half Precision Score
7007
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 09:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2144
398.7 IPS |
|
|
Image Classification (HP)
|
100% |
3106
577.6 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3659
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3991
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19229
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32484
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24887
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (HP)
|
97% |
3873
308.3 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
7769
92.3 IPS |
|
|
Face Detection (Q)
|
100% |
4641
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8672
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14485
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10120
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36821
47.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52911
68.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39790
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9638
355.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5455
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5412
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5391
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6018
103.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8780
151.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8790
151.9 IPS |
