Mac16,12
Geekbench AI Score
4968
Single Precision Score
8067
Half Precision Score
6475
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 14 2025 01:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3159
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19400
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16754
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7886
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
4559
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14152
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10042
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24416
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38968
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32117
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7208
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4919
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8041
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8093
139.9 IPS |
