Mac16,13
Geekbench AI Score
8942
Single Precision Score
10852
Half Precision Score
9694
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 29 2025 07:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4525
841.4 IPS |
|
|
Image Classification (HP)
|
100% |
4785
889.9 IPS |
|
|
Image Classification (Q)
|
96% |
4462
833.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7067
114.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7748
125.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7562
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27546
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29722
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29405
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (HP)
|
100% |
5139
407.7 IPS |
|
|
Object Detection (Q)
|
92% |
4748
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
12555
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
16143
191.8 IPS |
|
|
Face Detection (Q)
|
100% |
13279
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20274
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21922
168.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
20136
157.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57024
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
65849
84.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64027
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11487
424.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11516
425.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10295
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5597
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5453
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2664
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1619
28.0 IPS |
