Mac16,13
Geekbench AI Score
4701
Single Precision Score
7845
Half Precision Score
6257
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveyappleseed |
| Upload Date | April 04 2025 08:03 PM |
| Views | 17 |
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
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3462
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9732
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19288
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16444
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3957
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7191
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4179
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14455
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10016
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20491
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38360
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31524
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5094
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7259
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7162
123.8 IPS |
