MacBook Pro (16-inch, 2024)
Geekbench AI Score
5978
Single Precision Score
9452
Half Precision Score
7296
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | July 31 2025 02:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
3012
560.1 IPS |
|
|
Image Classification (Q)
|
96% |
2221
414.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3458
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18404
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34557
40.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
27169
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2700
214.1 IPS |
|
|
Object Detection (HP)
|
97% |
3961
315.4 IPS |
|
|
Object Detection (Q)
|
94% |
2785
221.9 IPS |
|
|
Face Detection (SP)
|
100% |
5331
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
8806
104.6 IPS |
|
|
Face Detection (Q)
|
100% |
4891
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8993
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15357
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9772
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31647
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58337
75.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44125
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9738
359.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5856
216.3 IPS |
|
|
Text Classification (SP)
|
100% |
3140
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5350
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6574
113.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9721
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9818
169.7 IPS |
