Mac16,13
Geekbench AI Score
8925
Single Precision Score
10555
Half Precision Score
9825
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4607
856.7 IPS |
|
|
Image Classification (HP)
|
100% |
5005
930.8 IPS |
|
|
Image Classification (Q)
|
96% |
4468
834.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7111
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7895
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7622
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26949
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
30933
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30071
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4620
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.9 IPS |
|
|
Object Detection (Q)
|
92% |
4787
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
12416
147.5 IPS |
|
|
Face Detection (HP)
|
100% |
15887
188.8 IPS |
|
|
Face Detection (Q)
|
100% |
13321
158.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19855
153.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22141
170.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20143
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55320
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67302
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
65446
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11445
422.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11644
430.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10303
380.5 IPS |
|
|
Text Classification (SP)
|
100% |
3405
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5921
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1615
27.9 IPS |
