Mac16,1
Geekbench AI Score
4514
Single Precision Score
7602
Half Precision Score
6103
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 06 2024 09:19 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
3253
605.0 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9671
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18785
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16086
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
97% |
3639
289.7 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6798
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
4050
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7967
61.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14226
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9900
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24404
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37870
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31205
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5693
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6840
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3156
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5642
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5626
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6318
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6275
108.4 IPS |
