Mac16,12
Geekbench AI Score
8502
Single Precision Score
9299
Half Precision Score
8693
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 08:11 PM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4111
764.5 IPS |
|
|
Image Classification (HP)
|
100% |
4360
810.9 IPS |
|
|
Image Classification (Q)
|
96% |
3954
738.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6255
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6743
109.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6420
104.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21981
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25086
29.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24447
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4110
326.0 IPS |
|
|
Object Detection (HP)
|
100% |
4652
369.0 IPS |
|
|
Object Detection (Q)
|
92% |
4331
345.7 IPS |
|
|
Face Detection (SP)
|
100% |
11649
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
14496
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11782
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19190
147.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20352
156.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18298
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48985
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56382
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
54611
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9477
350.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9998
369.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8744
322.9 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5848
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5709
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1561
27.0 IPS |
