Mac16,9
Geekbench AI Score
5598
Single Precision Score
9269
Half Precision Score
7115
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 15 2025 12:08 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% |
2129
395.9 IPS |
|
|
Image Classification (HP)
|
100% |
3090
574.6 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3973
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18190
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32940
38.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24483
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2634
209.0 IPS |
|
|
Object Detection (HP)
|
97% |
3877
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
7932
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
4673
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8863
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14986
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10505
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26225
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53684
69.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40073
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10162
375.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5912
218.3 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
6239
107.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9487
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9220
159.3 IPS |
