Mac16,13
Geekbench AI Score
9054
Single Precision Score
10624
Half Precision Score
10389
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 12:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4519
840.4 IPS |
|
|
Image Classification (HP)
|
100% |
4984
926.8 IPS |
|
|
Image Classification (Q)
|
96% |
4503
840.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7148
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7922
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7622
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27115
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30982
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30183
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4636
367.7 IPS |
|
|
Object Detection (HP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (Q)
|
92% |
4831
385.6 IPS |
|
|
Face Detection (SP)
|
100% |
12569
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16692
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
13409
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20080
154.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22422
172.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20179
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55503
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67633
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65844
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11455
423.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11666
430.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10265
379.1 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5763
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5751
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2785
48.1 IPS |
