Mac16,12
Geekbench AI Score
4863
Single Precision Score
7902
Half Precision Score
6357
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 13 2025 01:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3227
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3524
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19314
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16508
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
97% |
3731
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.7 IPS |
|
|
Face Detection (SP)
|
100% |
4067
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7326
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4346
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13929
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9857
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23200
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38563
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31573
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5878
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7377
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7458
128.9 IPS |
