Mac16,13
Geekbench AI Score
4903
Single Precision Score
7982
Half Precision Score
6332
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | pmjbf |
| Upload Date | September 14 2025 06:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2283
426.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3467
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9864
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19371
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16589
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.2 IPS |
|
|
Object Detection (HP)
|
97% |
3751
298.6 IPS |
|
|
Object Detection (Q)
|
94% |
2555
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4355
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13976
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9807
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24168
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38699
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31693
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6063
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5001
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3364
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7961
137.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7978
137.9 IPS |
