Mac16,13
Geekbench AI Score
4944
Single Precision Score
7990
Half Precision Score
6417
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:22 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 | Mac16,13 |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3161
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3532
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19463
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16653
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2420
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3741
297.8 IPS |
|
|
Object Detection (Q)
|
94% |
2677
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8503
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13996
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9870
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38617
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31766
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6091
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7995
138.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7995
138.2 IPS |
