Mac16,12
Geekbench AI Score
8166
Single Precision Score
9316
Half Precision Score
8602
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4075
757.9 IPS |
|
|
Image Classification (HP)
|
100% |
4303
800.2 IPS |
|
|
Image Classification (Q)
|
96% |
4062
758.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6254
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6563
106.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6366
103.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22819
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24042
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23857
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4266
338.4 IPS |
|
|
Object Detection (HP)
|
100% |
4713
373.8 IPS |
|
|
Object Detection (Q)
|
92% |
4296
342.9 IPS |
|
|
Face Detection (SP)
|
100% |
11931
141.8 IPS |
|
|
Face Detection (HP)
|
100% |
14542
172.8 IPS |
|
|
Face Detection (Q)
|
100% |
11797
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18786
144.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19831
152.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18244
142.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50208
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
55135
70.9 IPS |
|
|
Style Transfer (Q)
|
96% |
53895
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9785
361.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10038
370.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8737
322.6 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5635
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1511
26.1 IPS |
