Mac16,12
Geekbench AI Score
4752
Single Precision Score
7837
Half Precision Score
6271
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 05:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3171
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3544
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9767
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19339
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16506
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.2 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7270
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4277
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8550
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14489
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10074
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21183
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38287
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31483
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7312
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3071
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6925
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6886
119.0 IPS |
