Mac16,12
Geekbench AI Score
7996
Single Precision Score
9218
Half Precision Score
8736
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 28 2025 05:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4248
790.1 IPS |
|
|
Image Classification (HP)
|
100% |
4618
858.8 IPS |
|
|
Image Classification (Q)
|
96% |
4135
772.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6389
103.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6815
110.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6626
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22100
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25131
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24238
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
4442
352.3 IPS |
|
|
Object Detection (HP)
|
100% |
4875
386.7 IPS |
|
|
Object Detection (Q)
|
92% |
4486
358.1 IPS |
|
|
Face Detection (SP)
|
100% |
11838
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
14935
177.5 IPS |
|
|
Face Detection (Q)
|
100% |
11998
142.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19176
147.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20800
160.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
18974
148.2 IPS |
|
|
Style Transfer (SP)
|
100% |
48662
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
56217
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
54230
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7492
276.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9086
335.5 IPS |
|
|
Text Classification (SP)
|
100% |
3334
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5854
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1455
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1354
23.4 IPS |
