Mac16,13
Geekbench AI Score
4793
Single Precision Score
7899
Half Precision Score
6360
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RichardGroves |
| Upload Date | June 12 2025 02:31 PM |
| Views | 7 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3196
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9984
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19464
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16621
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.7 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4192
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7554
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14546
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10161
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21293
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38514
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31735
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7309
269.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7085
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7347
127.0 IPS |
