Mac16,12
Geekbench AI Score
8278
Single Precision Score
9941
Half Precision Score
8677
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | April 10 2025 12:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4117
765.6 IPS |
|
|
Image Classification (HP)
|
100% |
4282
796.3 IPS |
|
|
Image Classification (Q)
|
96% |
4038
754.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6249
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6642
107.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6386
103.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22814
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24229
28.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
23624
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4287
340.1 IPS |
|
|
Object Detection (HP)
|
100% |
4698
372.7 IPS |
|
|
Object Detection (Q)
|
92% |
4300
343.2 IPS |
|
|
Face Detection (SP)
|
100% |
11915
141.6 IPS |
|
|
Face Detection (HP)
|
100% |
14528
172.6 IPS |
|
|
Face Detection (Q)
|
100% |
11684
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18839
145.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20480
157.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
18851
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50046
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
56243
72.3 IPS |
|
|
Style Transfer (Q)
|
96% |
54343
70.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9786
361.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10550
389.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9152
337.9 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5462
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1548
26.8 IPS |
