Mac16,12
Geekbench AI Score
4748
Single Precision Score
7830
Half Precision Score
6270
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 16 2025 07:37 AM |
| Views | 4 |
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 | 4.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (HP)
|
100% |
3303
614.2 IPS |
|
|
Image Classification (Q)
|
96% |
2228
416.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9856
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19383
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16597
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7092
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4288
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8554
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14516
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10111
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20671
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38522
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31713
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7316
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5119
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6990
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7062
122.0 IPS |
