Mac16,11
Geekbench AI Score
5708
Single Precision Score
8862
Half Precision Score
7386
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | drjuso |
| Upload Date | March 17 2025 04:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.44 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.7 IPS |
|
|
Image Classification (Q)
|
99% |
3037
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2490
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3522
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18785
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30756
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
23202
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2647
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
4437
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7719
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4599
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14520
112.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
14168
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35060
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48450
62.3 IPS |
|
|
Style Transfer (Q)
|
100% |
48616
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9446
348.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5092
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5181
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5623
96.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8822
152.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8809
152.2 IPS |
