Mac16,12
Geekbench AI Score
4694
Single Precision Score
7745
Half Precision Score
6259
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 14 2025 01:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1989
370.0 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.7 IPS |
|
|
Image Classification (Q)
|
96% |
2311
431.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3207
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3613
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19071
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16472
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3871
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7293
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4309
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14541
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10111
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25191
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38228
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31628
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5899
217.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6824
252.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5402
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3933
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6928
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6903
119.3 IPS |
