Mac16,12
Geekbench AI Score
8968
Single Precision Score
10386
Half Precision Score
9749
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | June 11 2025 12:08 PM |
| Views | 5 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4406
819.4 IPS |
|
|
Image Classification (HP)
|
100% |
4753
883.9 IPS |
|
|
Image Classification (Q)
|
96% |
4545
848.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7095
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7762
125.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7608
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27696
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29750
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29413
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4512
357.9 IPS |
|
|
Object Detection (HP)
|
100% |
5147
408.2 IPS |
|
|
Object Detection (Q)
|
92% |
4735
378.0 IPS |
|
|
Face Detection (SP)
|
100% |
12729
151.2 IPS |
|
|
Face Detection (HP)
|
100% |
16517
196.3 IPS |
|
|
Face Detection (Q)
|
100% |
13265
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20272
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21943
169.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20141
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56545
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
65694
84.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64083
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11496
424.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11444
422.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1735
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1630
28.2 IPS |
