Mac16,7
Geekbench AI Score
5756
Single Precision Score
8862
Half Precision Score
6858
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Capitola |
| Upload Date | November 10 2024 05:05 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2179
406.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3374
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18858
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31222
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23862
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4543
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7755
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4676
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8852
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14610
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10203
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35780
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50249
64.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38348
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9471
349.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5222
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5160
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5755
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8544
147.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8618
148.9 IPS |
