Mac16,9
Geekbench AI Score
6034
Single Precision Score
9564
Half Precision Score
7310
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | October 31 2025 03:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2182
405.7 IPS |
|
|
Image Classification (HP)
|
100% |
3107
577.7 IPS |
|
|
Image Classification (Q)
|
96% |
2160
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3490
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3989
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18373
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34632
40.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
27038
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2740
217.4 IPS |
|
|
Object Detection (HP)
|
97% |
3971
316.1 IPS |
|
|
Object Detection (Q)
|
94% |
2813
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
5344
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
8855
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
4924
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9083
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15396
119.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9885
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31574
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
58542
75.3 IPS |
|
|
Style Transfer (Q)
|
96% |
44045
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7074
261.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9427
348.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5422
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5776
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5749
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6744
116.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9888
170.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9955
172.0 IPS |
