Mac16,11
Geekbench AI Score
5780
Single Precision Score
36693
Half Precision Score
49335
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | SlippingStaff |
| Upload Date | December 01 2024 12:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
18047
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
22005
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23203
376.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32166
521.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18851
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123593
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229906
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
20074
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23855
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
44751
531.7 IPS |
|
|
Face Detection (Q)
|
100% |
63951
759.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8844
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106255
818.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177722
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35712
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
238719
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
303965
392.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46126
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79722
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5013
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5776
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16225
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16305
281.8 IPS |
