Mac16,12
Geekbench AI Score
4728
Single Precision Score
7638
Half Precision Score
6100
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 14 2025 12:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3490
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19336
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16551
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4173
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7388
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4345
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8456
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13964
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9778
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38514
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31641
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5877
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6419
237.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4562
168.5 IPS |
|
|
Text Classification (SP)
|
100% |
3070
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5635
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5861
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
