MacBook Pro (14-inch, 2024)
Geekbench AI Score
5960
Single Precision Score
9216
Half Precision Score
7070
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | viniciusdssilva |
| Upload Date | January 11 2025 05:42 PM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.6 IPS |
|
|
Image Classification (HP)
|
100% |
3078
572.4 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2557
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3607
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3962
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19224
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32173
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25123
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4824
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8274
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
4745
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9018
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15151
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10524
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37076
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54016
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40471
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9618
355.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5361
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5451
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6041
104.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9016
155.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8971
155.0 IPS |
