Mac16,12
Geekbench AI Score
4791
Single Precision Score
7878
Half Precision Score
6359
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | July 10 2025 10:15 AM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3121
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3586
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19491
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7450
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4394
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8581
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14588
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10188
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21223
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38527
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31734
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3038
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7167
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7164
123.8 IPS |
