Mac16,13
Geekbench AI Score
4759
Single Precision Score
7818
Half Precision Score
6304
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveyappleseed |
| Upload Date | April 02 2025 01:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (Q)
|
96% |
2260
421.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3061
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3524
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9789
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19349
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16555
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
7281
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4358
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14482
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10088
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20684
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38422
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31668
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7203
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7118
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7109
122.8 IPS |
