Mac16,12
Geekbench AI Score
4890
Single Precision Score
7942
Half Precision Score
6390
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | December 20 2025 07:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
3338
620.8 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3490
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19409
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16623
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2691
214.5 IPS |
|
|
Face Detection (SP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7565
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4401
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8452
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13956
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9883
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24198
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38646
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31731
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6068
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7132
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4485
77.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7935
137.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8006
138.4 IPS |
