Stein`s MacBook Pro MAX M4 (16-inch, 2024) MacBook Pro (16-inch, 2024)
Geekbench AI Score
5999
Single Precision Score
9547
Half Precision Score
7280
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Zztony |
| Upload Date | December 05 2025 04:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2179
405.3 IPS |
|
|
Image Classification (HP)
|
100% |
2997
557.4 IPS |
|
|
Image Classification (Q)
|
96% |
2188
408.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3990
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18355
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34783
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
27196
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
97% |
3951
314.6 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8834
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
4903
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9006
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15662
121.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9793
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31630
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58341
75.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44038
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9660
356.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5408
199.7 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5647
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6705
115.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9962
172.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9837
170.0 IPS |
