Mac16,12
Geekbench AI Score
8159
Single Precision Score
9799
Half Precision Score
9287
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | December 12 2025 10:05 PM |
| Views | 11 |
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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4326
804.5 IPS |
|
|
Image Classification (HP)
|
100% |
4684
871.0 IPS |
|
|
Image Classification (Q)
|
96% |
4225
789.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6546
106.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7301
118.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7235
117.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25176
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29335
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27880
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4104
325.6 IPS |
|
|
Object Detection (HP)
|
100% |
4829
383.0 IPS |
|
|
Object Detection (Q)
|
92% |
4435
354.0 IPS |
|
|
Face Detection (SP)
|
100% |
10921
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
14990
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
11843
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18165
139.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17181
132.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
15686
122.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47066
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60391
77.6 IPS |
|
|
Style Transfer (Q)
|
96% |
59615
76.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10613
391.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10961
404.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9500
350.8 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5766
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5698
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1715
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2107
36.4 IPS |
