MacBook Pro (16-inch, 2024)
Geekbench AI Score
5904
Single Precision Score
9119
Half Precision Score
7040
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 18 2025 11:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2122
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
3083
573.3 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3572
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19129
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32089
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24723
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.4 IPS |
|
|
Object Detection (HP)
|
97% |
3870
308.1 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4749
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8086
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
4696
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8766
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14472
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10292
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36409
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50821
65.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39410
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9867
364.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5504
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
6074
104.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9121
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9098
157.2 IPS |
