Mac16,13
Geekbench AI Score
4710
Single Precision Score
7774
Half Precision Score
6295
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | March 17 2025 02:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
3257
605.7 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3175
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3636
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9935
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19121
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16468
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7484
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4408
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14625
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10189
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25131
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38148
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31570
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7004
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7075
122.3 IPS |
