Mac16,1
Geekbench AI Score
4726
Single Precision Score
36764
Half Precision Score
51862
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 09:53 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
18774
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
28793
5.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21987
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30108
488.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9606
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122239
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230362
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2386
189.3 IPS |
|
|
Object Detection (HP)
|
100% |
18997
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
25690
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
40307
478.9 IPS |
|
|
Face Detection (Q)
|
100% |
56000
665.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8551
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99731
768.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170097
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21675
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233001
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299289
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6062
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50824
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87225
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2911
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6162
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16641
286.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17908
309.5 IPS |
