Mac16,11
Geekbench AI Score
5738
Single Precision Score
8931
Half Precision Score
7499
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 07:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (Q)
|
99% |
3004
560.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3469
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18818
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32015
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
24187
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4580
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7892
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4700
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14886
115.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
14934
115.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35907
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51039
65.6 IPS |
|
|
Style Transfer (Q)
|
100% |
52523
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7003
258.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9508
351.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5140
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5143
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5719
98.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8751
151.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8686
150.1 IPS |
