Mac16,12
Geekbench AI Score
8942
Single Precision Score
11323
Half Precision Score
10579
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | December 05 2025 08:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4600
855.4 IPS |
|
|
Image Classification (HP)
|
100% |
5032
935.8 IPS |
|
|
Image Classification (Q)
|
96% |
4401
821.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7126
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7756
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7638
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27142
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30997
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30149
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4669
370.3 IPS |
|
|
Object Detection (HP)
|
100% |
5271
418.1 IPS |
|
|
Object Detection (Q)
|
92% |
4820
384.7 IPS |
|
|
Face Detection (SP)
|
100% |
12320
146.4 IPS |
|
|
Face Detection (HP)
|
100% |
15810
187.9 IPS |
|
|
Face Detection (Q)
|
100% |
13285
157.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19924
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22248
171.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20195
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55826
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67508
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
65713
84.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11488
424.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12157
448.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10428
385.1 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5697
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1512
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3305
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3318
57.3 IPS |
