Mac16,13
Geekbench AI Score
4890
Single Precision Score
7982
Half Precision Score
6407
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2344
437.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3165
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19349
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16604
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3754
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4184
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7560
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8443
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14017
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9933
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23862
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38667
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31854
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4934
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3311
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5941
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4510
77.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7714
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7733
133.6 IPS |
