Mac16,9
Geekbench AI Score
5608
Single Precision Score
9387
Half Precision Score
7218
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 11:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
3098
576.2 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3590
58.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18204
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33420
39.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25708
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
97% |
3888
309.5 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4978
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
8348
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
4798
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8884
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15542
120.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10836
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25991
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54826
70.5 IPS |
|
|
Style Transfer (Q)
|
96% |
41889
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10171
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5748
212.2 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5312
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6209
107.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9424
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9618
166.2 IPS |
