MacBook Pro (16-inch, 2024)
Geekbench AI Score
5985
Single Precision Score
9475
Half Precision Score
7238
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kalimarel |
| Upload Date | November 18 2025 09:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
3138
583.5 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3537
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3979
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18136
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34068
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26576
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
97% |
3935
313.3 IPS |
|
|
Object Detection (Q)
|
94% |
2802
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
8835
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
4898
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9035
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15351
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10265
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31553
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58510
75.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43923
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9544
352.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5421
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
3138
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5294
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6658
114.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9776
168.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9804
169.4 IPS |
