Mac16,13
Geekbench AI Score
9206
Single Precision Score
10673
Half Precision Score
10765
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | sellen |
| Upload Date | August 11 2025 10:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4607
856.8 IPS |
|
|
Image Classification (HP)
|
100% |
4985
927.0 IPS |
|
|
Image Classification (Q)
|
96% |
4676
873.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7192
116.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7846
127.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7747
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28126
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30065
35.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
29579
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4806
381.2 IPS |
|
|
Object Detection (HP)
|
100% |
5422
430.1 IPS |
|
|
Object Detection (Q)
|
92% |
4919
392.6 IPS |
|
|
Face Detection (SP)
|
100% |
12323
146.4 IPS |
|
|
Face Detection (HP)
|
100% |
16249
193.1 IPS |
|
|
Face Detection (Q)
|
100% |
13279
157.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21250
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22960
176.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21243
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56976
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67461
86.7 IPS |
|
|
Style Transfer (Q)
|
96% |
65000
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12461
460.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11811
436.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10889
402.1 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3687
63.7 IPS |
