Mac16,12
Geekbench AI Score
8867
Single Precision Score
10777
Half Precision Score
10278
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | esterr123 |
| Upload Date | October 23 2025 11:36 PM |
| Views | 1 |
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% |
4418
821.6 IPS |
|
|
Image Classification (HP)
|
100% |
4788
890.3 IPS |
|
|
Image Classification (Q)
|
96% |
4508
841.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7194
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7662
124.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7592
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27693
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29777
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29427
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4578
363.1 IPS |
|
|
Object Detection (HP)
|
100% |
5151
408.6 IPS |
|
|
Object Detection (Q)
|
92% |
4754
379.5 IPS |
|
|
Face Detection (SP)
|
100% |
12779
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16537
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13473
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20374
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21913
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20008
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56943
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66210
85.1 IPS |
|
|
Style Transfer (Q)
|
96% |
64590
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11506
424.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11492
424.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10310
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2441
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2758
47.7 IPS |
