Mac16,12
Geekbench AI Score
4716
Single Precision Score
7816
Half Precision Score
6268
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 17 2025 02:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3288
611.5 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3279
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19113
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16462
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7527
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4357
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14642
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10182
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25230
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38292
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31717
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6709
247.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4809
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5553
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5346
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6994
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
