Mac16,12
Geekbench AI Score
4690
Single Precision Score
7738
Half Precision Score
6155
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | August 11 2025 10:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3091
574.7 IPS |
|
|
Image Classification (Q)
|
96% |
2297
428.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3081
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9228
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18627
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16005
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2382
189.0 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2585
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7010
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
4060
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7955
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13655
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9136
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20822
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38256
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30988
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5683
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4496
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7896
136.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7783
134.5 IPS |
