Mac16,13
Geekbench AI Score
4931
Single Precision Score
7994
Half Precision Score
6429
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 20 2025 05:14 PM |
| Views | 7 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2348
438.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19370
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16697
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
4284
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7763
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4513
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8573
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14129
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9960
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24319
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38861
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31895
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6929
255.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5843
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5702
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7928
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7933
137.1 IPS |
