Mac16,12
Geekbench AI Score
4827
Single Precision Score
7847
Half Precision Score
6325
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alessaba |
| Upload Date | April 10 2025 09:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3329
619.1 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3587
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19419
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16627
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
97% |
3748
298.4 IPS |
|
|
Object Detection (Q)
|
94% |
2690
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4256
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7476
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4388
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14596
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10214
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21599
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38550
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31912
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6070
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7328
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5255
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4326
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7008
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7306
126.3 IPS |
