Mac16,13
Geekbench AI Score
4881
Single Precision Score
7922
Half Precision Score
6372
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AndyTung |
| Upload Date | October 07 2025 04:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.5 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2061
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3481
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19352
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16578
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7189
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4367
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8437
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13928
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9786
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23891
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38589
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31695
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6071
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7151
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5711
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5813
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4507
77.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7913
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7908
136.7 IPS |
