Mac16,12
Geekbench AI Score
4819
Single Precision Score
7902
Half Precision Score
6360
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 16 2025 12:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.2 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.2 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3592
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10003
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19467
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16660
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7579
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4400
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14643
113.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10224
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21630
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38627
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31805
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6129
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7248
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5093
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4366
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7183
124.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7276
125.7 IPS |
