Mac16,12
Geekbench AI Score
4647
Single Precision Score
7724
Half Precision Score
6191
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:55 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2008
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3256
605.4 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3096
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3413
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9362
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18615
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16304
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
6933
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
4201
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14290
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10014
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20363
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38219
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31501
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5902
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7317
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7068
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
