Mac16,13
Geekbench AI Score
9213
Single Precision Score
10803
Half Precision Score
9832
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:25 AM |
| Views | 2 |
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% |
4479
833.0 IPS |
|
|
Image Classification (HP)
|
100% |
5002
930.2 IPS |
|
|
Image Classification (Q)
|
96% |
4377
817.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7130
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7928
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7656
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27152
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31006
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30145
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5201
412.6 IPS |
|
|
Object Detection (Q)
|
92% |
4791
382.4 IPS |
|
|
Face Detection (SP)
|
100% |
12784
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16913
201.0 IPS |
|
|
Face Detection (Q)
|
100% |
13509
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20073
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22196
171.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20298
158.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55544
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66971
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65319
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11847
437.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10282
379.7 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1622
28.0 IPS |
