Mac16,13
Geekbench AI Score
4790
Single Precision Score
7789
Half Precision Score
6276
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | raccoon8888 |
| Upload Date | May 07 2025 02:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3323
617.9 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9912
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19348
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16500
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3752
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.4 IPS |
|
|
Face Detection (SP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
7262
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4280
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14518
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10206
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21282
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38263
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31562
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5050
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5290
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6974
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
