Mac16,13
Geekbench AI Score
9238
Single Precision Score
10814
Half Precision Score
9940
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kameit00 |
| Upload Date | September 25 2025 08:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4625
860.1 IPS |
|
|
Image Classification (HP)
|
100% |
5064
941.7 IPS |
|
|
Image Classification (Q)
|
96% |
4604
859.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7095
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7919
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7647
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27128
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31070
36.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30029
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
5238
415.5 IPS |
|
|
Object Detection (Q)
|
92% |
4856
387.6 IPS |
|
|
Face Detection (SP)
|
100% |
12570
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
16888
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
13261
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20031
154.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22582
174.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20578
160.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55273
71.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67011
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65466
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11433
422.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11878
438.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10440
385.5 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
5829
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5826
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2075
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1688
29.2 IPS |
