Mac16,11
Geekbench AI Score
5779
Single Precision Score
36778
Half Precision Score
51250
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 22 2024 09:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
18108
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
22707
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23176
375.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32370
524.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18879
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123534
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231963
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
20030
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23878
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
44783
532.1 IPS |
|
|
Face Detection (Q)
|
100% |
64388
765.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8732
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111129
856.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
179484
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
34992
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
239128
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304437
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46553
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79290
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4799
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6565
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5830
100.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16404
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16769
289.8 IPS |
