Mac16,12
Geekbench AI Score
4805
Single Precision Score
7890
Half Precision Score
6285
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 08 2025 03:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
3378
628.2 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3429
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9761
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19316
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16513
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
97% |
3768
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4100
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7441
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4343
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13685
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9665
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23618
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38806
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31808
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5030
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5448
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7747
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7665
132.5 IPS |
