Mac16,13
Geekbench AI Score
4748
Single Precision Score
7774
Half Precision Score
6198
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AGW2022 |
| Upload Date | December 01 2025 11:50 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
3247
603.8 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9292
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18372
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3677
292.7 IPS |
|
|
Object Detection (Q)
|
94% |
2601
207.3 IPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7172
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8206
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13872
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9757
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23767
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38627
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31514
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7153
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5830
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6013
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7558
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7500
129.6 IPS |
