Mac16,13
Geekbench AI Score
4642
Single Precision Score
7720
Half Precision Score
6214
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 07 2025 07:13 PM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
1942
361.2 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.7 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9815
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18989
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16411
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7143
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4231
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14482
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10064
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24950
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38103
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31410
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4854
179.3 IPS |
|
|
Text Classification (SP)
|
100% |
3059
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6790
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6877
118.8 IPS |
