Mac16,12
Geekbench AI Score
4943
Single Precision Score
8045
Half Precision Score
6424
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | RayReno |
| Upload Date | November 07 2025 06:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (Q)
|
96% |
2339
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3203
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19440
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16682
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2725
217.2 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7744
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4467
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14083
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9945
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24441
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38741
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31860
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7145
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4956
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5894
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5786
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7993
138.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7835
135.4 IPS |
