Mac16,12
Geekbench AI Score
4427
Single Precision Score
7772
Half Precision Score
6197
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 12 2025 07:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2139
399.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3124
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8806
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19412
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15637
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
6598
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8544
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14515
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9652
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15996
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38694
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31778
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7068
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5131
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5433
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4154
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7160
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7190
124.2 IPS |
