Mac16,12
Geekbench AI Score
2651
Single Precision Score
4268
Half Precision Score
3369
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 06:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 2.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1076
200.2 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.2 IPS |
|
|
Image Classification (Q)
|
96% |
1141
213.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1907
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5684
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
10402
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8777
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
97% |
2001
159.3 IPS |
|
|
Object Detection (Q)
|
94% |
1400
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
2260
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4687
36.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7779
60.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5324
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11462
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19759
25.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16739
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3997
147.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2747
101.4 IPS |
|
|
Text Classification (SP)
|
100% |
1762
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2986
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4267
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4270
73.8 IPS |
