Mac16,12
Geekbench AI Score
4743
Single Precision Score
7806
Half Precision Score
6235
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Exotic |
| Upload Date | September 07 2025 02:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3138
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3532
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9864
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16589
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7265
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4255
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8534
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14467
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10087
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20596
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38409
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31563
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7254
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5421
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6900
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6715
116.0 IPS |
