Mac16,13
Geekbench AI Score
4936
Single Precision Score
8005
Half Precision Score
6438
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | December 11 2025 11:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.4 IPS |
|
|
Image Classification (Q)
|
96% |
2352
439.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3125
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10080
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19470
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16670
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4252
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
7719
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4463
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14067
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9923
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24445
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38668
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31756
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7205
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4936
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5714
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4556
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8093
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8081
139.6 IPS |
