Mac16,12
Geekbench AI Score
4616
Single Precision Score
7688
Half Precision Score
6194
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | XiaoliMEMZ |
| Upload Date | August 16 2025 04:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| 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% |
1936
360.0 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (Q)
|
96% |
2286
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2022
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3207
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9809
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18916
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16314
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2638
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6964
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
4245
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8173
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14461
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10070
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24685
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37976
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31221
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5756
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4851
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3053
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6656
115.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6633
114.6 IPS |
