Mac16,12
Geekbench AI Score
9149
Single Precision Score
11355
Half Precision Score
10176
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 08:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4258
791.9 IPS |
|
|
Image Classification (HP)
|
100% |
5096
947.7 IPS |
|
|
Image Classification (Q)
|
96% |
4563
852.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7864
127.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7699
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27139
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31205
36.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30456
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4697
372.6 IPS |
|
|
Object Detection (HP)
|
100% |
5355
424.8 IPS |
|
|
Object Detection (Q)
|
92% |
4928
393.4 IPS |
|
|
Face Detection (SP)
|
100% |
12714
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16862
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
13649
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20513
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23343
179.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21395
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55861
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67890
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65637
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11852
437.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12575
464.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10872
401.4 IPS |
|
|
Text Classification (SP)
|
100% |
3369
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5828
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5859
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1850
32.0 IPS |
