Mac16,12
Geekbench AI Score
4857
Single Precision Score
7916
Half Precision Score
6353
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | AllieWolfie |
| Upload Date | August 14 2025 08:19 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2107
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3106
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19401
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16695
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4220
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
7590
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4421
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8678
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14592
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10271
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21724
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38576
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31955
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7377
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5608
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7175
124.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7197
124.4 IPS |
