Mac16,12
Geekbench AI Score
4759
Single Precision Score
7875
Half Precision Score
6286
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 03:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 4.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3104
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3408
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19225
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16448
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4104
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
7264
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4232
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13590
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9628
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20780
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38410
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31520
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7192
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7567
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7548
130.4 IPS |
