Mac16,13
Geekbench AI Score
9221
Single Precision Score
10415
Half Precision Score
9714
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ventangelo |
| Upload Date | August 13 2025 01:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4396
817.5 IPS |
|
|
Image Classification (HP)
|
100% |
4808
894.2 IPS |
|
|
Image Classification (Q)
|
96% |
4446
830.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7048
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7863
127.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7570
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27522
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29704
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29405
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4526
359.0 IPS |
|
|
Object Detection (HP)
|
100% |
5141
407.8 IPS |
|
|
Object Detection (Q)
|
92% |
4749
379.1 IPS |
|
|
Face Detection (SP)
|
100% |
12526
148.8 IPS |
|
|
Face Detection (HP)
|
100% |
16431
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
13275
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20753
159.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21919
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20020
156.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55528
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65744
84.5 IPS |
|
|
Style Transfer (Q)
|
96% |
63843
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11654
430.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11541
426.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10301
380.4 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1704
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1630
28.2 IPS |
