MacBook Pro (16-inch, 2024)
Geekbench AI Score
23978
Single Precision Score
26804
Half Precision Score
25049
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 09:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
10623
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
10972
2.04 KIPS |
|
|
Image Classification (Q)
|
96% |
10311
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23767
385.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24349
394.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23320
378.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
102595
119.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
112039
130.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
107422
125.8 IPS |
|
|
Object Detection (SP)
|
100% |
9299
737.6 IPS |
|
|
Object Detection (HP)
|
100% |
10248
812.9 IPS |
|
|
Object Detection (Q)
|
92% |
9592
765.7 IPS |
|
|
Face Detection (SP)
|
100% |
40442
480.5 IPS |
|
|
Face Detection (HP)
|
100% |
44176
524.9 IPS |
|
|
Face Detection (Q)
|
100% |
37453
445.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44888
345.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47517
366.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
43471
339.5 IPS |
|
|
Style Transfer (SP)
|
100% |
219977
282.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239141
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
231415
298.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30422
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31497
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27290
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5705
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5695
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6530
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6919
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6704
115.8 IPS |
