Mac16,12
Geekbench AI Score
9294
Single Precision Score
10487
Half Precision Score
9813
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 27 2025 06:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4473
831.9 IPS |
|
|
Image Classification (HP)
|
100% |
4920
914.9 IPS |
|
|
Image Classification (Q)
|
96% |
4349
812.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7723
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7655
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27117
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30976
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30076
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4579
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
5217
413.8 IPS |
|
|
Object Detection (Q)
|
92% |
4811
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
12673
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
15918
189.1 IPS |
|
|
Face Detection (Q)
|
100% |
13473
160.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20000
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21926
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20087
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55817
71.8 IPS |
|
|
Style Transfer (HP)
|
100% |
67094
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65505
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11359
419.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11584
427.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10289
379.9 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5791
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5726
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1669
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1646
28.4 IPS |
