MacBook Pro (16-inch, 2024)
Geekbench AI Score
6038
Single Precision Score
9591
Half Precision Score
7428
Quantized Score
Geekbench AI 1.5.0 Pro for macOS AArch64
Result Information
| User | f180n4cc1 |
| Upload Date | September 20 2025 10:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2201
409.3 IPS |
|
|
Image Classification (HP)
|
100% |
3190
593.3 IPS |
|
|
Image Classification (Q)
|
96% |
2243
418.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3650
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3996
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18429
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34675
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27100
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
97% |
3983
317.1 IPS |
|
|
Object Detection (Q)
|
94% |
2814
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
8599
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4853
57.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9018
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15121
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10342
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31721
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
57409
73.8 IPS |
|
|
Style Transfer (Q)
|
96% |
43057
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7220
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9608
354.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6031
222.7 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5751
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5724
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9931
171.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10040
173.5 IPS |
