Mac16,9
Geekbench AI Score
5619
Single Precision Score
9262
Half Precision Score
7105
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | July 06 2025 05:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
3081
573.0 IPS |
|
|
Image Classification (Q)
|
96% |
2199
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3588
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3947
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18208
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32271
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24802
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2642
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
3887
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4888
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
8114
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8855
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14793
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10432
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26488
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53603
68.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40022
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10173
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5750
212.3 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5311
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6268
108.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9513
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9483
163.9 IPS |
