Mac16,12
Geekbench AI Score
6108
Single Precision Score
7100
Half Precision Score
6719
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 02:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2644
491.6 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
3440
642.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4547
73.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5401
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14775
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16954
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14797
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (Q)
|
92% |
3154
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
9038
107.4 IPS |
|
|
Face Detection (HP)
|
100% |
11118
132.1 IPS |
|
|
Face Detection (Q)
|
100% |
9149
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15104
116.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15745
121.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14696
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39034
50.2 IPS |
|
|
Style Transfer (HP)
|
100% |
45051
57.9 IPS |
|
|
Style Transfer (Q)
|
96% |
42280
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9000
332.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9196
339.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8687
320.8 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2951
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1521
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1485
25.7 IPS |
