Mac16,12
Geekbench AI Score
8934
Single Precision Score
10946
Half Precision Score
9824
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 28 2025 12:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4872
906.0 IPS |
|
|
Image Classification (Q)
|
96% |
4537
847.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7283
118.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7752
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7620
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27828
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29767
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29414
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4626
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
5183
411.2 IPS |
|
|
Object Detection (Q)
|
92% |
4817
384.5 IPS |
|
|
Face Detection (SP)
|
100% |
12826
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16020
190.4 IPS |
|
|
Face Detection (Q)
|
100% |
13329
158.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20499
157.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21820
168.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20284
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56647
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66675
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65164
84.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11935
440.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11607
428.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10596
391.3 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5598
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2747
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1637
28.3 IPS |
