Mac Studio M4 Max Mac16,9
Geekbench AI Score
5975
Single Precision Score
9198
Half Precision Score
7068
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | March 23 2025 07:17 PM |
| Views | 6 |
| Notes | Base M4 Max Max Studio 14 Core CPU 36 GB RAM |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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% |
2136
397.3 IPS |
|
|
Image Classification (HP)
|
100% |
3061
569.3 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3590
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3992
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19234
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32792
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25013
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8097
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
4767
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14878
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10344
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36460
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52964
68.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40515
52.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9726
359.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5396
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5316
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6243
107.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9112
157.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9101
157.3 IPS |
