Mac16,13
Geekbench AI Score
4570
Single Precision Score
7634
Half Precision Score
6150
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveyappleseed |
| Upload Date | April 20 2025 01:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1964
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
3333
619.9 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3091
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3485
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9475
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18813
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16097
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
97% |
3688
293.6 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
6736
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8288
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14301
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9994
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20123
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37999
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31267
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7259
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5009
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6475
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6610
114.2 IPS |
