Mac16,7
Geekbench AI Score
5716
Single Precision Score
8814
Half Precision Score
6851
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 10:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,7 |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
2983
554.8 IPS |
|
|
Image Classification (Q)
|
96% |
2166
404.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18897
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31416
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24206
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.5 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
7883
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
4648
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14397
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10247
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35458
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50019
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39554
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9457
349.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5155
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
2852
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4945
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8684
150.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8731
150.9 IPS |
