Mac16,12
Geekbench AI Score
8403
Single Precision Score
9391
Half Precision Score
9004
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ritesh259 |
| Upload Date | October 18 2025 07:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4315
802.5 IPS |
|
|
Image Classification (HP)
|
100% |
4357
810.2 IPS |
|
|
Image Classification (Q)
|
96% |
4022
751.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6255
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6701
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6462
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22010
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25118
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24508
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4393
348.5 IPS |
|
|
Object Detection (HP)
|
100% |
4676
370.9 IPS |
|
|
Object Detection (Q)
|
92% |
4354
347.6 IPS |
|
|
Face Detection (SP)
|
100% |
11744
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
14597
173.4 IPS |
|
|
Face Detection (Q)
|
100% |
11782
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18589
143.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20067
154.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
18361
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49019
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56291
72.4 IPS |
|
|
Style Transfer (Q)
|
96% |
54617
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9702
358.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10027
370.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8818
325.6 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5758
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5752
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1948
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2109
36.4 IPS |
