Mac16,11
Geekbench AI Score
5780
Single Precision Score
8852
Half Precision Score
6854
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:38 PM |
| Views | 4 |
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% |
2080
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.5 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3457
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19003
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30710
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23962
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3865
307.7 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4610
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8874
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14416
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10124
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35690
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48344
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38900
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9503
350.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5207
192.3 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5110
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5722
98.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8776
151.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8689
150.2 IPS |
