Mac16,11
Geekbench AI Score
5318
Single Precision Score
8899
Half Precision Score
6953
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 07:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.4 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16921
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31138
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23786
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4593
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4589
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13821
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10215
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25264
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
50879
65.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39306
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9960
367.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5722
211.3 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5162
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5217
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5453
93.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8839
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8908
153.9 IPS |
