Mac16,13
Geekbench AI Score
8902
Single Precision Score
10429
Half Precision Score
9844
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RichardGroves |
| Upload Date | June 12 2025 03:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4563
848.7 IPS |
|
|
Image Classification (HP)
|
100% |
4931
917.1 IPS |
|
|
Image Classification (Q)
|
96% |
4549
849.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7179
116.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7812
126.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7593
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27916
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29758
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29512
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4567
362.3 IPS |
|
|
Object Detection (HP)
|
100% |
5240
415.6 IPS |
|
|
Object Detection (Q)
|
92% |
4808
383.8 IPS |
|
|
Face Detection (SP)
|
100% |
12101
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
16488
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
13363
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20670
159.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21781
167.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20127
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54896
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
67130
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65073
84.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11834
437.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11482
424.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10453
386.0 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1678
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1698
29.3 IPS |
