Mac16,12
Geekbench AI Score
9008
Single Precision Score
10953
Half Precision Score
9716
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | December 04 2025 09:37 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4544
845.1 IPS |
|
|
Image Classification (HP)
|
100% |
4867
905.1 IPS |
|
|
Image Classification (Q)
|
96% |
4539
847.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7194
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7758
125.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7603
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27986
32.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29821
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29498
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4620
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
5189
411.6 IPS |
|
|
Object Detection (Q)
|
92% |
4763
380.2 IPS |
|
|
Face Detection (SP)
|
100% |
12555
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
15779
187.5 IPS |
|
|
Face Detection (Q)
|
100% |
13186
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20667
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22028
169.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20491
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
55823
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67286
86.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64856
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11714
432.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11756
434.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10381
383.3 IPS |
|
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5550
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5265
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1600
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1615
27.9 IPS |
