Mac16,12
Geekbench AI Score
9074
Single Precision Score
10097
Half Precision Score
10065
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | binbin |
| Upload Date | November 19 2025 12:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
4498
836.4 IPS |
|
|
Image Classification (HP)
|
100% |
4804
893.4 IPS |
|
|
Image Classification (Q)
|
96% |
4408
823.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6873
111.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7699
124.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7415
120.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27044
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28863
33.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28478
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4443
352.4 IPS |
|
|
Object Detection (HP)
|
100% |
5077
402.7 IPS |
|
|
Object Detection (Q)
|
92% |
4632
369.8 IPS |
|
|
Face Detection (SP)
|
100% |
11833
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
15920
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
12736
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19575
150.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21385
164.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
19908
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53097
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63415
81.5 IPS |
|
|
Style Transfer (Q)
|
96% |
62125
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11541
426.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11416
421.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10121
373.7 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2838
49.0 IPS |
