Mac16,12
Geekbench AI Score
4848
Single Precision Score
37092
Half Precision Score
52789
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 07:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
17831
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
27470
5.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22114
358.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29944
485.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9762
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122880
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231962
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
18904
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26741
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4155
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
43768
520.1 IPS |
|
|
Face Detection (Q)
|
100% |
61593
731.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99776
768.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171700
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23666
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233644
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
323597
417.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53663
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86512
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4469
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16715
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18968
327.8 IPS |
