Mac16,11
Geekbench AI Score
5768
Single Precision Score
36410
Half Precision Score
49377
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 05 2024 06:42 PM |
| Views | 9 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
17466
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22133
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23263
377.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32206
522.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18875
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123502
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230679
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
19766
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23787
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44695
531.1 IPS |
|
|
Face Detection (Q)
|
100% |
64900
771.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8961
69.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106821
823.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177887
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35504
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237639
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302631
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7019
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46119
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76762
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5054
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5804
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16209
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16251
280.8 IPS |
