Mac16,12
Geekbench AI Score
8401
Single Precision Score
9497
Half Precision Score
8740
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 05:30 PM |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4123
766.7 IPS |
|
|
Image Classification (HP)
|
100% |
4438
825.3 IPS |
|
|
Image Classification (Q)
|
96% |
4038
754.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6250
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6435
104.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22018
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25069
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24447
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4303
341.3 IPS |
|
|
Object Detection (HP)
|
100% |
4655
369.2 IPS |
|
|
Object Detection (Q)
|
92% |
4357
347.8 IPS |
|
|
Face Detection (SP)
|
100% |
11605
137.9 IPS |
|
|
Face Detection (HP)
|
100% |
14515
172.5 IPS |
|
|
Face Detection (Q)
|
100% |
12050
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18396
141.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20195
155.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
18453
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49061
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56402
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54706
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9499
350.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10051
371.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8749
323.1 IPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1527
26.4 IPS |
