Mac16,12
Geekbench AI Score
8075
Single Precision Score
9782
Half Precision Score
8609
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 24 2025 01:53 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4490
835.0 IPS |
|
|
Image Classification (HP)
|
100% |
4933
917.3 IPS |
|
|
Image Classification (Q)
|
97% |
4247
792.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4806
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6763
109.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7212
116.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27966
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30134
35.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28730
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4741
376.1 IPS |
|
|
Object Detection (HP)
|
100% |
5292
419.8 IPS |
|
|
Object Detection (Q)
|
91% |
4482
358.2 IPS |
|
|
Face Detection (SP)
|
100% |
12669
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
15953
189.6 IPS |
|
|
Face Detection (Q)
|
100% |
12065
143.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20489
157.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22638
174.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19512
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
54914
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67291
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
62997
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11841
437.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12930
477.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10446
385.7 IPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
664
11.5 IPS |
