Mac16,12
Geekbench AI Score
8926
Single Precision Score
10515
Half Precision Score
10272
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 23 2025 10:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4456
828.6 IPS |
|
|
Image Classification (HP)
|
100% |
4944
919.4 IPS |
|
|
Image Classification (Q)
|
96% |
4357
813.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7095
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7897
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7662
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27109
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30981
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30043
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
5168
409.9 IPS |
|
|
Object Detection (Q)
|
92% |
4770
380.8 IPS |
|
|
Face Detection (SP)
|
100% |
12737
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16068
190.9 IPS |
|
|
Face Detection (Q)
|
100% |
13480
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19958
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21944
169.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20030
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55853
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67018
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65392
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11346
418.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11673
431.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10306
380.6 IPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5780
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5719
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2627
45.4 IPS |
