Mac16,9
Geekbench AI Score
6021
Single Precision Score
9606
Half Precision Score
7282
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 05:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (HP)
|
100% |
3118
579.8 IPS |
|
|
Image Classification (Q)
|
96% |
2156
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3544
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3959
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18315
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34757
40.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
27263
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.7 IPS |
|
|
Object Detection (HP)
|
97% |
3968
315.9 IPS |
|
|
Object Detection (Q)
|
94% |
2806
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
5318
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
8813
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
4906
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9086
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15641
120.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9851
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31681
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58733
75.5 IPS |
|
|
Style Transfer (Q)
|
96% |
44159
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7103
262.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9678
357.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5449
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6671
114.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9949
171.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9811
169.6 IPS |
