Mac16,12
Geekbench AI Score
4696
Single Precision Score
7794
Half Precision Score
6268
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | metaColin |
| Upload Date | March 28 2025 04:13 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
1986
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3299
613.6 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3198
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9929
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19082
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3837
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7270
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4342
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8282
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14576
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10143
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25171
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38186
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31584
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6959
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6923
119.6 IPS |
