Mac16,12
Geekbench AI Score
4791
Single Precision Score
7903
Half Precision Score
6331
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | June 11 2025 12:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
3314
616.3 IPS |
|
|
Image Classification (Q)
|
96% |
2295
428.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3547
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19430
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7576
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8571
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14542
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10141
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21593
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38461
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31613
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6120
226.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7248
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5098
188.2 IPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4348
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7286
125.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7167
123.8 IPS |
