Mac16,12
Geekbench AI Score
8061
Single Precision Score
9069
Half Precision Score
9271
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Zypherix |
| Upload Date | November 09 2025 03:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
4144
770.7 IPS |
|
|
Image Classification (HP)
|
100% |
4296
799.0 IPS |
|
|
Image Classification (Q)
|
96% |
4019
750.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6239
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6622
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6328
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22731
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
23989
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23774
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
4268
338.5 IPS |
|
|
Object Detection (HP)
|
100% |
4723
374.6 IPS |
|
|
Object Detection (Q)
|
92% |
4335
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
11855
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
14442
171.6 IPS |
|
|
Face Detection (Q)
|
100% |
11738
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18917
145.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19825
152.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
18618
145.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49849
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55044
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53698
69.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10145
374.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9971
368.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8763
323.6 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5473
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3173
54.8 IPS |
