Mac16,12
Geekbench AI Score
8226
Single Precision Score
10037
Half Precision Score
8592
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | harry34x |
| Upload Date | October 26 2025 06:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4160
773.7 IPS |
|
|
Image Classification (HP)
|
100% |
4358
810.4 IPS |
|
|
Image Classification (Q)
|
96% |
4117
768.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6300
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6613
107.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6430
104.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22021
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25120
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24456
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4350
345.0 IPS |
|
|
Object Detection (HP)
|
100% |
4756
377.2 IPS |
|
|
Object Detection (Q)
|
92% |
4350
347.2 IPS |
|
|
Face Detection (SP)
|
100% |
11905
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
14646
174.0 IPS |
|
|
Face Detection (Q)
|
100% |
11894
141.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18526
142.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20156
155.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
18340
143.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49154
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56630
72.8 IPS |
|
|
Style Transfer (Q)
|
96% |
54629
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9391
346.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10025
370.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8707
321.5 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1314
22.7 IPS |
