Mac16,12
Geekbench AI Score
7915
Single Precision Score
9036
Half Precision Score
8439
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 07:58 AM |
| Views | 3 |
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% |
4046
752.4 IPS |
|
|
Image Classification (HP)
|
100% |
4300
799.6 IPS |
|
|
Image Classification (Q)
|
96% |
4029
752.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6167
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6501
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6320
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22802
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24032
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23873
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
4285
339.9 IPS |
|
|
Object Detection (HP)
|
100% |
4770
378.3 IPS |
|
|
Object Detection (Q)
|
92% |
4278
341.5 IPS |
|
|
Face Detection (SP)
|
100% |
11892
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
14435
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
11629
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18812
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19857
153.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
18327
143.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49779
64.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55098
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53772
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9747
359.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10108
373.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8855
327.0 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5320
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1306
22.6 IPS |
