Mac Studio M4 Max Mac16,9
Geekbench AI Score
5981
Single Precision Score
9157
Half Precision Score
7032
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tebruno99 |
| Upload Date | March 28 2025 12:08 AM |
| Views | 12 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2131
396.3 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.6 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2564
41.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3594
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3963
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19222
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31762
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24726
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4871
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8149
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4705
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9036
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14884
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10403
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
37134
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53316
68.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39620
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7213
266.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9621
355.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5386
198.9 IPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6142
105.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9197
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9064
156.6 IPS |
