M4 Mac Studio (16 core) Mac16,9
Geekbench AI Score
5605
Single Precision Score
9260
Half Precision Score
7140
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Morac |
| Upload Date | April 29 2025 10:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
3097
575.9 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3586
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18409
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33101
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25146
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
97% |
3881
309.0 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4849
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8034
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
4616
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8888
68.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14790
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10494
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26323
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54187
69.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39629
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10120
373.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5942
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6221
107.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9252
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9252
159.9 IPS |
