Mac16,1
Geekbench AI Score
4851
Single Precision Score
7949
Half Precision Score
6350
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | November 08 2025 07:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2188
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3323
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9620
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19363
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16528
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
97% |
3772
300.3 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4207
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
7347
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4309
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8245
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13936
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9748
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22962
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38516
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31568
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7236
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5014
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5603
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5590
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4437
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7756
134.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7951
137.4 IPS |
