Mac16,12
Geekbench AI Score
8390
Single Precision Score
9796
Half Precision Score
8702
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 24 2025 04:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4078
758.4 IPS |
|
|
Image Classification (HP)
|
100% |
4330
805.3 IPS |
|
|
Image Classification (Q)
|
96% |
4030
752.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6260
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6529
105.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6371
103.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22813
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24225
28.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23680
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4265
338.3 IPS |
|
|
Object Detection (HP)
|
100% |
4710
373.6 IPS |
|
|
Object Detection (Q)
|
92% |
4326
345.3 IPS |
|
|
Face Detection (SP)
|
100% |
11783
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
14590
173.4 IPS |
|
|
Face Detection (Q)
|
100% |
11712
139.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18828
145.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20463
157.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
18847
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49860
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56256
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
54421
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9812
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10591
391.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9241
341.2 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1515
26.2 IPS |
