Mac16,9
Geekbench AI Score
5584
Single Precision Score
9295
Half Precision Score
7149
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
3094
575.3 IPS |
|
|
Image Classification (Q)
|
96% |
2203
411.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3624
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3934
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17992
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33140
38.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25303
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
97% |
3903
310.7 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4851
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8144
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4739
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8915
68.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15109
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10650
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26186
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53263
68.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40926
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6133
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10286
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5787
213.7 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5317
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9262
160.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9303
160.8 IPS |
