Mac16,12
Geekbench AI Score
4722
Single Precision Score
36526
Half Precision Score
50866
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | daschmc |
| Upload Date | March 14 2025 07:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
17513
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
26193
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21975
356.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28572
463.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9930
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123157
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232582
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
18198
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25984
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
43113
512.3 IPS |
|
|
Face Detection (Q)
|
100% |
54859
651.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8326
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100099
771.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168893
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25233
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229712
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299495
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5887
217.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49162
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83769
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6162
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6141
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16322
281.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17961
310.4 IPS |
