Mac16,13
Geekbench AI Score
8985
Single Precision Score
10894
Half Precision Score
9830
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AndyTung |
| Upload Date | October 07 2025 04:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4568
849.4 IPS |
|
|
Image Classification (HP)
|
100% |
5006
930.9 IPS |
|
|
Image Classification (Q)
|
96% |
4428
826.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6908
112.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7766
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7624
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26789
31.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
30996
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29797
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4581
363.4 IPS |
|
|
Object Detection (HP)
|
100% |
5124
406.5 IPS |
|
|
Object Detection (Q)
|
92% |
4751
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
12394
147.3 IPS |
|
|
Face Detection (HP)
|
100% |
16583
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
13385
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19976
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22706
174.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20568
160.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54970
70.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66669
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64884
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11392
420.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10417
384.6 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5774
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1641
28.4 IPS |
