Mac16,12
Geekbench AI Score
4824
Single Precision Score
7914
Half Precision Score
6365
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.1 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3134
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3604
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10030
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19468
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16682
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7653
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4402
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14630
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10233
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21661
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38585
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31916
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6137
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7252
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5018
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7209
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7249
125.3 IPS |
