Mac16,13
Geekbench AI Score
4802
Single Precision Score
7923
Half Precision Score
6321
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | August 11 2025 10:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 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% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3223
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19422
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16609
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2430
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7566
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4357
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8559
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14579
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10158
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21461
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38461
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31722
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6121
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5060
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5676
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5436
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7153
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7144
123.5 IPS |
