Mac16,12
Geekbench AI Score
4710
Single Precision Score
37239
Half Precision Score
52781
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 03:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
18562
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
26714
4.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22423
363.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30878
500.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9048
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120293
140.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231391
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2383
189.0 IPS |
|
|
Object Detection (HP)
|
100% |
19375
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27095
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
44082
523.8 IPS |
|
|
Face Detection (Q)
|
100% |
63377
753.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8226
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98852
761.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165887
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20499
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235607
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
321058
414.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5917
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52544
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87231
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5821
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5849
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4441
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16838
290.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18841
325.6 IPS |
