Mac16,12
Geekbench AI Score
4874
Single Precision Score
36724
Half Precision Score
52163
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | alessaba |
| Upload Date | December 06 2025 10:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
17579
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
25219
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21926
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30998
502.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9669
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122849
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232605
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
100% |
18081
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26783
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
43681
519.0 IPS |
|
|
Face Detection (Q)
|
100% |
63475
754.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8491
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100730
776.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169610
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23569
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234691
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
323548
417.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53290
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87844
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4446
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16226
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17861
308.7 IPS |
