Mac16,11
Geekbench AI Score
5753
Single Precision Score
8903
Half Precision Score
6891
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.5 IPS |
|
|
Image Classification (Q)
|
96% |
2188
408.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3446
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18799
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31963
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24368
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7927
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4660
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8828
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14550
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10113
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35567
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49329
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39095
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7028
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9478
350.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5219
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5223
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5181
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5719
98.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8726
150.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8727
150.8 IPS |
