Mac16,13
Geekbench AI Score
4818
Single Precision Score
7863
Half Precision Score
6335
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aIpaca |
| Upload Date | April 13 2025 12:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.5 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3229
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3584
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19360
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16630
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7320
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4364
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14583
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10178
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21631
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38263
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31696
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6080
224.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7129
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5057
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7126
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7169
123.9 IPS |
