Mac16,9
Geekbench AI Score
5989
Single Precision Score
9560
Half Precision Score
7293
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 28 2025 10:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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% |
2200
409.1 IPS |
|
|
Image Classification (HP)
|
100% |
3075
571.8 IPS |
|
|
Image Classification (Q)
|
96% |
2211
412.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3998
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18293
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34712
40.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27167
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
3943
313.9 IPS |
|
|
Object Detection (Q)
|
94% |
2790
222.4 IPS |
|
|
Face Detection (SP)
|
100% |
5305
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
8868
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
4891
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9031
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15434
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9703
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31642
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58557
75.3 IPS |
|
|
Style Transfer (Q)
|
96% |
44115
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9665
356.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5841
215.7 IPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5418
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5282
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6584
113.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9858
170.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9843
170.1 IPS |
