Mac16,11
Geekbench AI Score
13335
Single Precision Score
14979
Half Precision Score
13740
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 4.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6606
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
6991
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6301
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12134
196.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12978
210.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12075
195.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45950
53.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
48250
56.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46813
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
6412
508.6 IPS |
|
|
Object Detection (HP)
|
100% |
7107
563.8 IPS |
|
|
Object Detection (Q)
|
92% |
6370
508.4 IPS |
|
|
Face Detection (SP)
|
100% |
23083
274.3 IPS |
|
|
Face Detection (HP)
|
100% |
25068
297.9 IPS |
|
|
Face Detection (Q)
|
100% |
21191
251.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30702
236.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33025
254.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29964
234.3 IPS |
|
|
Style Transfer (SP)
|
100% |
104459
134.3 IPS |
|
|
Style Transfer (HP)
|
100% |
112614
144.8 IPS |
|
|
Style Transfer (Q)
|
96% |
110511
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16633
614.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17136
632.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15863
585.7 IPS |
|
|
Text Classification (SP)
|
100% |
2861
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5158
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5111
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2219
38.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1859
32.1 IPS |
