Mac16,13
Geekbench AI Score
4808
Single Precision Score
7891
Half Precision Score
6371
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 12:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3155
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3611
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19438
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16664
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3798
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7280
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4342
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14626
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10229
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21684
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38530
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31889
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6122
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7216
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5654
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7184
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7288
125.9 IPS |
