Mac16,13
Geekbench AI Score
4835
Single Precision Score
7887
Half Precision Score
6367
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmps6111 |
| Upload Date | June 23 2025 03:21 AM |
| Views | 8 |
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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.1 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9985
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19424
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4263
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7523
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4345
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8646
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14575
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10238
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21840
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38503
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31924
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5581
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7200
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7226
124.9 IPS |
