Mac16,12
Geekbench AI Score
4930
Single Precision Score
7969
Half Precision Score
6403
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3402
632.7 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3121
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3510
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19427
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16648
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2681
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7610
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8461
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13984
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9835
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24256
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38590
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31686
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7157
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5693
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7928
137.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8013
138.5 IPS |
