Mac16,13
Geekbench AI Score
8278
Single Precision Score
9255
Half Precision Score
8512
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | March 16 2025 10:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
4409
820.0 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.4 IPS |
|
|
Image Classification (Q)
|
97% |
4228
789.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4747
77.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6650
107.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7192
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27859
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29949
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28584
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4679
371.1 IPS |
|
|
Object Detection (HP)
|
100% |
5214
413.6 IPS |
|
|
Object Detection (Q)
|
91% |
4584
366.3 IPS |
|
|
Face Detection (SP)
|
100% |
12588
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
15775
187.4 IPS |
|
|
Face Detection (Q)
|
100% |
11323
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20275
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22327
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19296
150.8 IPS |
|
|
Style Transfer (SP)
|
100% |
55733
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67638
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
62688
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11657
430.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11594
428.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9382
346.4 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
