MacBook Pro (16-inch, 2024)
Geekbench AI Score
5600
Single Precision Score
9285
Half Precision Score
7149
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cordyceps |
| Upload Date | May 05 2025 04:52 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
3129
581.9 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3761
61.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18053
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32517
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24873
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.4 IPS |
|
|
Object Detection (HP)
|
97% |
3911
311.4 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4870
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
7915
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4692
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8849
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14880
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10406
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26253
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51853
66.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39531
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6092
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10205
376.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6047
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6266
107.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9384
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9440
163.1 IPS |
