Mac16,12
Geekbench AI Score
4749
Single Precision Score
37045
Half Precision Score
52740
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 09 2025 11:13 AM |
| Views | 3 |
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% |
2046
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
17475
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
29072
5.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22088
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30458
493.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9847
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123059
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231659
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
18591
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26813
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
44216
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
57635
684.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99647
767.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172028
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21361
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232806
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299606
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6119
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49551
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87034
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6326
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16785
289.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18509
319.9 IPS |
