MacBook Pro (16-inch, 2024)
Geekbench AI Score
6014
Single Precision Score
9491
Half Precision Score
7217
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Justin_ho |
| Upload Date | October 04 2025 07:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
3127
581.5 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2465
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3524
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3968
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18644
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34657
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27166
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (HP)
|
97% |
3952
314.6 IPS |
|
|
Object Detection (Q)
|
94% |
2783
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
5353
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8823
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
4868
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9024
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15079
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9771
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31567
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
57779
74.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43598
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9641
356.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5478
202.3 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5367
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6641
114.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9847
170.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9742
168.4 IPS |
