Mac16,12
Geekbench AI Score
4823
Single Precision Score
7866
Half Precision Score
6308
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | tmsteere |
| Upload Date | April 21 2025 11:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.3 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19450
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16631
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4226
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7391
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4330
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14595
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21801
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38251
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31475
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7117
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7098
122.7 IPS |
