MacBook Pro (16-inch, 2024)
Geekbench AI Score
23291
Single Precision Score
25718
Half Precision Score
24111
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Eterius |
| Upload Date | May 07 2025 02:17 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10111
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10361
1.93 KIPS |
|
|
Image Classification (Q)
|
96% |
9265
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22993
372.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24228
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
22754
368.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
105681
123.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107765
125.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
104613
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
8585
680.9 IPS |
|
|
Object Detection (HP)
|
100% |
9948
789.1 IPS |
|
|
Object Detection (Q)
|
92% |
9434
753.1 IPS |
|
|
Face Detection (SP)
|
100% |
39667
471.3 IPS |
|
|
Face Detection (HP)
|
100% |
40704
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
36126
429.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
44860
345.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46951
361.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
43215
337.6 IPS |
|
|
Style Transfer (SP)
|
100% |
219328
281.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233155
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
220039
284.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30924
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30539
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26451
976.7 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5313
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6507
112.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6489
112.1 IPS |
