Mac16,13
Geekbench AI Score
8977
Single Precision Score
10373
Half Precision Score
9782
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | OXO |
| Upload Date | August 24 2025 08:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4434
824.5 IPS |
|
|
Image Classification (HP)
|
100% |
4777
888.4 IPS |
|
|
Image Classification (Q)
|
96% |
4669
871.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7149
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7723
125.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7602
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27768
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29741
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29412
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4579
363.2 IPS |
|
|
Object Detection (HP)
|
100% |
5155
408.9 IPS |
|
|
Object Detection (Q)
|
92% |
4759
379.9 IPS |
|
|
Face Detection (SP)
|
100% |
12653
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16443
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
13349
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20428
157.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21996
169.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20126
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
55265
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66858
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64889
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11552
426.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11532
425.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10301
380.4 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1624
28.1 IPS |
