Mac16,13
Geekbench AI Score
4931
Single Precision Score
8004
Half Precision Score
6430
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.6 IPS |
|
|
Image Classification (Q)
|
96% |
2340
436.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19401
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16635
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.8 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7672
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4441
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8514
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14036
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9905
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24453
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38688
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31743
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6104
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4964
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5801
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5848
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4565
78.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8021
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7981
137.9 IPS |
