Mac16,12
Geekbench AI Score
7901
Single Precision Score
9467
Half Precision Score
8555
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aenewton |
| Upload Date | March 20 2025 02:34 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4394
817.1 IPS |
|
|
Image Classification (HP)
|
100% |
4795
891.7 IPS |
|
|
Image Classification (Q)
|
97% |
4131
770.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4728
76.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6691
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7095
115.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27801
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29961
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28492
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4649
368.8 IPS |
|
|
Object Detection (HP)
|
100% |
5229
414.8 IPS |
|
|
Object Detection (Q)
|
91% |
4453
355.9 IPS |
|
|
Face Detection (SP)
|
100% |
12577
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
15922
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
11921
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20149
155.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22253
171.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19485
152.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54517
70.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66751
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
62437
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11541
426.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12653
467.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10285
379.8 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
728
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
690
11.9 IPS |
