Mac16,12
Geekbench AI Score
4611
Single Precision Score
7692
Half Precision Score
6142
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | darrotta |
| Upload Date | July 31 2025 12:11 PM |
| Views | 5 |
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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1988
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3237
601.9 IPS |
|
|
Image Classification (Q)
|
96% |
2218
414.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3451
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9412
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18405
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15734
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
4103
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7263
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4146
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7940
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14067
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9771
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19810
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36647
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30562
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7106
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4452
76.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7246
125.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7204
124.5 IPS |
