Mac16,1
Geekbench AI Score
10570
Single Precision Score
12526
Half Precision Score
11633
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 03:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
4862
904.1 IPS |
|
|
Image Classification (HP)
|
100% |
5308
987.1 IPS |
|
|
Image Classification (Q)
|
96% |
4807
897.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7627
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8538
138.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8160
132.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28843
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33081
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32079
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4891
388.0 IPS |
|
|
Object Detection (HP)
|
100% |
5388
427.4 IPS |
|
|
Object Detection (Q)
|
92% |
5053
403.3 IPS |
|
|
Face Detection (SP)
|
100% |
12905
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
17442
207.2 IPS |
|
|
Face Detection (Q)
|
100% |
13860
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21144
162.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23608
181.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21510
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59534
76.5 IPS |
|
|
Style Transfer (HP)
|
100% |
73146
94.0 IPS |
|
|
Style Transfer (Q)
|
96% |
70043
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11953
441.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12521
462.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10833
400.0 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5728
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5451
93.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5444
94.1 IPS |
