Mac16,12
Geekbench AI Score
8097
Single Precision Score
9223
Half Precision Score
8483
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 08:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4087
760.1 IPS |
|
|
Image Classification (HP)
|
100% |
4286
797.1 IPS |
|
|
Image Classification (Q)
|
96% |
4019
750.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6256
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6493
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6360
103.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22798
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24037
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23858
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4298
340.9 IPS |
|
|
Object Detection (HP)
|
100% |
4712
373.7 IPS |
|
|
Object Detection (Q)
|
92% |
4293
342.7 IPS |
|
|
Face Detection (SP)
|
100% |
11812
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
14537
172.7 IPS |
|
|
Face Detection (Q)
|
100% |
11730
139.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18782
144.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19959
153.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18359
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49927
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55215
71.0 IPS |
|
|
Style Transfer (Q)
|
96% |
53806
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9832
363.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10178
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8815
325.5 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1334
23.1 IPS |
