Mac16,12
Geekbench AI Score
4599
Single Precision Score
7629
Half Precision Score
6113
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 09:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.3 IPS |
|
|
Image Classification (HP)
|
100% |
3263
606.9 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3068
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9289
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18899
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16162
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
97% |
3650
290.6 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6878
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
4103
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8101
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13599
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9597
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20453
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37515
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30952
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5751
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.0 IPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5726
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5749
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6907
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6882
118.9 IPS |
