Mac16,13
Geekbench AI Score
4602
Single Precision Score
7712
Half Precision Score
6210
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | March 08 2025 02:44 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1925
358.0 IPS |
|
|
Image Classification (HP)
|
100% |
3177
590.8 IPS |
|
|
Image Classification (Q)
|
96% |
2160
403.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3180
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9793
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18738
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16166
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3739
297.7 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7320
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4321
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8288
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14553
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10141
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24997
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38119
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31529
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6794
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5518
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6905
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6935
119.9 IPS |
