Mac16,12
Geekbench AI Score
9134
Single Precision Score
10842
Half Precision Score
9769
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lifekills |
| Upload Date | July 09 2025 08:19 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4439
825.6 IPS |
|
|
Image Classification (HP)
|
100% |
4841
900.4 IPS |
|
|
Image Classification (Q)
|
96% |
4529
845.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7013
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7905
128.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7630
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27636
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29784
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29479
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4540
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
5228
414.7 IPS |
|
|
Object Detection (Q)
|
92% |
4740
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
12441
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
16221
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
13030
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20238
155.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22067
170.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20231
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56376
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65861
84.7 IPS |
|
|
Style Transfer (Q)
|
96% |
63540
82.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11731
433.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11691
431.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10389
383.6 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5488
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1736
30.0 IPS |
