Macbook Air M4 Mac16,12
Geekbench AI Score
8978
Single Precision Score
10829
Half Precision Score
9918
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | avandeputte |
| Upload Date | December 10 2025 09:17 PM |
| Views | 19 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4572
850.2 IPS |
|
|
Image Classification (HP)
|
100% |
4985
927.0 IPS |
|
|
Image Classification (Q)
|
96% |
4469
834.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7146
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7734
125.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7661
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27099
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31071
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30180
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (HP)
|
100% |
5175
410.5 IPS |
|
|
Object Detection (Q)
|
92% |
4823
384.9 IPS |
|
|
Face Detection (SP)
|
100% |
12472
148.2 IPS |
|
|
Face Detection (HP)
|
100% |
16724
198.7 IPS |
|
|
Face Detection (Q)
|
100% |
13378
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20130
155.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22386
172.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20466
159.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55656
71.5 IPS |
|
|
Style Transfer (HP)
|
100% |
67676
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65606
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11423
421.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11773
434.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10376
383.1 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
6000
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6015
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1649
28.5 IPS |
