Mac16,13
Geekbench AI Score
2695
Single Precision Score
4341
Half Precision Score
3391
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 03:26 PM |
| Views | 2 |
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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1142
212.4 IPS |
|
|
Image Classification (HP)
|
100% |
1807
336.0 IPS |
|
|
Image Classification (Q)
|
96% |
1163
217.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1869
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5671
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
10354
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8885
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
2054
163.5 IPS |
|
|
Object Detection (Q)
|
94% |
1441
114.8 IPS |
|
|
Face Detection (SP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (Q)
|
100% |
2201
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4741
36.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
7625
58.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5151
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12854
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19961
25.7 IPS |
|
|
Style Transfer (Q)
|
96% |
16562
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3360
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3958
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2713
100.2 IPS |
|
|
Text Classification (SP)
|
100% |
1918
2.56 KIPS |
|
|
Text Classification (HP)
|
99% |
3248
4.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3228
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4441
76.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4396
76.0 IPS |
