Mac16,12
Geekbench AI Score
7997
Single Precision Score
9525
Half Precision Score
8607
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 01:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
4455
828.5 IPS |
|
|
Image Classification (HP)
|
100% |
4793
891.4 IPS |
|
|
Image Classification (Q)
|
97% |
4132
771.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4854
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6739
109.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7200
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28124
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30063
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28645
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4778
379.0 IPS |
|
|
Object Detection (HP)
|
100% |
5244
415.9 IPS |
|
|
Object Detection (Q)
|
91% |
4403
351.8 IPS |
|
|
Face Detection (SP)
|
100% |
12857
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
15838
188.2 IPS |
|
|
Face Detection (Q)
|
100% |
12060
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20402
157.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22427
172.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19318
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55419
71.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67944
87.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63744
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11676
431.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12733
470.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10510
388.1 IPS |
|
|
Text Classification (SP)
|
100% |
3122
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
691
11.9 IPS |
