MacBook Pro (16-inch, 2024)
Geekbench AI Score
4030
Single Precision Score
8513
Half Precision Score
6748
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dani4477 |
| Upload Date | July 17 2025 04:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (HP)
|
100% |
3080
572.8 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3482
4.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14305
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14936
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
97% |
3858
307.2 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
8025
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
4508
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14796
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10404
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28495
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50806
65.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38974
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7326
270.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10099
372.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6126
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5586
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5584
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6131
105.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9531
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9225
159.4 IPS |
