Mac16,12
Geekbench AI Score
4844
Single Precision Score
7939
Half Precision Score
6331
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 07:33 AM |
| 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 | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3470
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9809
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19244
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16506
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.5 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4132
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7417
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4339
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13929
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9746
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23360
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38362
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31576
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7197
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5788
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4493
77.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7707
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7651
132.2 IPS |
