Mac16,9
Geekbench AI Score
6042
Single Precision Score
9341
Half Precision Score
7154
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Joey66 |
| Upload Date | March 30 2025 01:54 PM |
| Views | 2 |
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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
96% |
2225
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2609
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3746
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3970
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19297
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32472
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25239
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3919
312.0 IPS |
|
|
Object Detection (Q)
|
94% |
2709
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4860
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8288
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4821
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9156
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15246
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10585
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37329
48.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54004
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
40443
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7309
269.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9837
363.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5509
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5557
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6249
107.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9312
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9204
159.1 IPS |
