Mac16,13
Geekbench AI Score
4973
Single Precision Score
8023
Half Precision Score
6456
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 03:12 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2348
438.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3184
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3562
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19421
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16671
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4275
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
7707
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4471
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14076
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9969
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24371
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38779
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31787
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6096
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4939
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5927
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4579
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8020
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8009
138.4 IPS |
