Mac16,12
Geekbench AI Score
8925
Single Precision Score
10790
Half Precision Score
9829
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 24 2025 08:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4445
826.7 IPS |
|
|
Image Classification (HP)
|
100% |
4857
903.2 IPS |
|
|
Image Classification (Q)
|
96% |
4535
846.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7740
125.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7535
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27459
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29769
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29453
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4502
357.1 IPS |
|
|
Object Detection (HP)
|
100% |
5146
408.2 IPS |
|
|
Object Detection (Q)
|
92% |
4751
379.2 IPS |
|
|
Face Detection (SP)
|
100% |
11417
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
15796
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
13122
155.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20662
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22032
169.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20629
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55193
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
65468
84.2 IPS |
|
|
Style Transfer (Q)
|
96% |
63984
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12159
449.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11741
433.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10744
396.7 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1740
30.1 IPS |
