Mac16,12
Geekbench AI Score
4950
Single Precision Score
8014
Half Precision Score
6438
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 06 2025 07:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2105
391.5 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.1 IPS |
|
|
Image Classification (Q)
|
96% |
2340
437.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10025
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19378
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16706
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4289
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7803
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4497
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14089
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9917
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24245
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38793
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31892
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4915
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5779
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5734
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8001
138.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8060
139.3 IPS |
