Mac16,13
Geekbench AI Score
4706
Single Precision Score
36590
Half Precision Score
51179
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dlambl |
| Upload Date | March 29 2025 02:01 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
17734
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25649
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21886
354.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30148
488.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123113
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232446
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
18422
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26123
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3874
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
43811
520.6 IPS |
|
|
Face Detection (Q)
|
100% |
55144
655.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99265
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169306
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25121
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231184
297.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298823
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49379
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83771
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6013
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6249
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16372
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17982
310.8 IPS |
