Mac16,12
Geekbench AI Score
7875
Single Precision Score
9342
Half Precision Score
8296
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 11 2025 08:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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% |
3986
741.3 IPS |
|
|
Image Classification (HP)
|
100% |
4149
771.5 IPS |
|
|
Image Classification (Q)
|
96% |
3148
587.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6127
99.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6945
112.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6725
109.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22791
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26373
30.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25774
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3853
305.6 IPS |
|
|
Object Detection (HP)
|
100% |
4392
348.4 IPS |
|
|
Object Detection (Q)
|
92% |
4062
324.3 IPS |
|
|
Face Detection (SP)
|
100% |
10375
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
14083
167.3 IPS |
|
|
Face Detection (Q)
|
100% |
11217
133.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16220
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19202
147.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17197
134.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47043
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57022
73.3 IPS |
|
|
Style Transfer (Q)
|
96% |
55171
71.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9706
358.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9909
365.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8828
326.0 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1720
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1353
23.4 IPS |
