Mac16,13
Geekbench AI Score
4942
Single Precision Score
8006
Half Precision Score
6443
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Enter1399 |
| Upload Date | October 19 2025 05:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.1 IPS |
|
|
Image Classification (Q)
|
96% |
2350
438.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3164
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19418
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16641
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
97% |
3755
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4227
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7641
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
4426
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8515
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14080
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9931
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24476
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38717
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31735
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7183
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5994
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4511
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8054
139.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8027
138.7 IPS |
