Mac16,9
Geekbench AI Score
5605
Single Precision Score
9312
Half Precision Score
7168
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tbirkhofer |
| Upload Date | May 01 2025 07:21 PM |
| Views | 2 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
394.9 IPS |
|
|
Image Classification (HP)
|
100% |
3112
578.7 IPS |
|
|
Image Classification (Q)
|
96% |
2201
411.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2361
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3546
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3969
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18159
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32940
38.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25091
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
3885
309.3 IPS |
|
|
Object Detection (Q)
|
94% |
2702
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8044
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4701
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8856
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15093
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10477
81.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26294
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53671
69.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40274
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10185
376.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6043
223.1 IPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5325
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6208
106.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9418
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.8 IPS |
