Mac16,12
Geekbench AI Score
9098
Single Precision Score
11027
Half Precision Score
10001
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 21 2025 05:28 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4720
877.7 IPS |
|
|
Image Classification (HP)
|
100% |
5186
964.4 IPS |
|
|
Image Classification (Q)
|
96% |
4702
878.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7315
118.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7989
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7814
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27559
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31065
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30343
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4628
367.1 IPS |
|
|
Object Detection (HP)
|
100% |
5258
417.0 IPS |
|
|
Object Detection (Q)
|
92% |
4811
384.0 IPS |
|
|
Face Detection (SP)
|
100% |
12736
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
17092
203.1 IPS |
|
|
Face Detection (Q)
|
100% |
13646
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20236
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22551
173.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20757
162.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55928
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67656
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65400
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11451
422.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11785
435.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10396
383.9 IPS |
|
|
Text Classification (SP)
|
100% |
3353
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5956
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2147
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1679
29.0 IPS |
