Mac16,13
Geekbench AI Score
4715
Single Precision Score
7795
Half Precision Score
6283
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 12:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
3268
607.7 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3606
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19114
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16490
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7617
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4327
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14618
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10180
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25191
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38229
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31587
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4837
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5645
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3974
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6948
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6922
119.6 IPS |
