Mac16,11
Geekbench AI Score
5791
Single Precision Score
36842
Half Precision Score
49387
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 04:39 AM |
| Views | 7 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
17490
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
21955
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23163
375.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32266
523.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19011
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123533
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231744
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2504
198.6 IPS |
|
|
Object Detection (HP)
|
100% |
21129
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
24830
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
44787
532.2 IPS |
|
|
Face Detection (Q)
|
100% |
63818
758.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8983
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112134
863.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178858
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35490
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237854
305.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302756
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46038
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76178
2.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4977
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5772
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16242
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16164
279.3 IPS |
