Mac16,12
Geekbench AI Score
4814
Single Precision Score
7890
Half Precision Score
6346
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | July 01 2025 07:01 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3376
627.8 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3571
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9952
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19495
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16673
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4159
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14561
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10176
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21812
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38850
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31717
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5465
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4417
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7202
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7465
129.0 IPS |
