Mac16,12
Geekbench AI Score
4842
Single Precision Score
7897
Half Precision Score
6357
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 13 2025 12:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.6 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3592
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19497
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16694
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.6 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4477
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14644
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10252
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21591
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38585
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31844
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5061
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4354
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7152
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7209
124.6 IPS |
