Mac16,12
Geekbench AI Score
4813
Single Precision Score
7904
Half Precision Score
6308
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 30 2025 11:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3453
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9783
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19373
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16512
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
97% |
3746
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7484
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4349
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13763
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9687
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23721
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38893
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31948
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6023
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7216
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7894
136.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7721
133.4 IPS |
