Mac16,12
Geekbench AI Score
4669
Single Precision Score
7734
Half Precision Score
6162
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 05 2025 04:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.3 IPS |
|
|
Image Classification (Q)
|
96% |
2238
417.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9509
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18914
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16117
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
97% |
3720
296.2 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
7337
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4287
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8286
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13517
104.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9575
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22189
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37341
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30676
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4793
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7503
129.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7315
126.4 IPS |
