Mac16,12
Geekbench AI Score
8606
Single Precision Score
9727
Half Precision Score
8665
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Siltant |
| Upload Date | April 10 2025 08:17 PM |
| Views | 6 |
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% |
4094
761.4 IPS |
|
|
Image Classification (HP)
|
100% |
4362
811.2 IPS |
|
|
Image Classification (Q)
|
96% |
4036
753.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6172
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6530
105.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6369
103.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22846
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24185
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
23660
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4264
338.2 IPS |
|
|
Object Detection (HP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (Q)
|
92% |
4292
342.6 IPS |
|
|
Face Detection (SP)
|
100% |
11799
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
14396
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
11756
139.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18806
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20453
157.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
18752
146.6 IPS |
|
|
Style Transfer (SP)
|
100% |
49877
64.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56166
72.2 IPS |
|
|
Style Transfer (Q)
|
96% |
54504
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9957
367.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10529
388.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9151
337.9 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5449
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1516
26.2 IPS |
