Mac16,12
Geekbench AI Score
4815
Single Precision Score
36764
Half Precision Score
50990
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | July 09 2025 02:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17731
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25267
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22071
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30144
488.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10018
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122676
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231485
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
18211
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26225
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
43930
522.0 IPS |
|
|
Face Detection (Q)
|
100% |
56610
672.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99074
763.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167564
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21632
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232910
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297487
383.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50122
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83348
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4409
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16456
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18242
315.2 IPS |
