Mac16,9
Geekbench AI Score
5502
Single Precision Score
9233
Half Precision Score
7112
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dglow |
| Upload Date | April 05 2025 01:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3079
572.5 IPS |
|
|
Image Classification (Q)
|
96% |
2168
404.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3948
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17831
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32755
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24854
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2542
201.6 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7735
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4568
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8632
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14909
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10144
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26335
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52901
68.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40070
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10045
370.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6104
225.4 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5359
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6003
103.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9495
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9428
162.9 IPS |
