Mac16,12
Geekbench AI Score
4768
Single Precision Score
7839
Half Precision Score
6271
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | November 11 2025 03:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2016
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.7 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9630
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19217
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16414
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2368
187.8 IPS |
|
|
Object Detection (HP)
|
97% |
3707
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7187
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4264
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13844
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9683
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22744
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38319
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31284
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5921
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5885
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5947
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7276
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7278
125.8 IPS |
